Senior Data Scientist With Deep Learning Jobs in Gurgaon

Prompt Engineer (Software Engineer) Analyst Location: Gurgaon, India (On-site) Function: Content Engineering Experience: 0-1 years About GlobalLogic GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to some of the world s largest and most innovative companies. Since 2000, we have driven the digital revolution, creating cutting-edge digital products and experiences that transform businesses and industries globally. At GlobalLogic, we prioritize a culture of caring, continuous learning, and balance, fostering an environment where creativity and innovation thrive. Role Overview As a Prompt Engineer, you will focus on designing, developing, and optimizing prompts for natural language understanding systems, especially conversational AI and chatbots. This role requires a strong foundation in Python, data science, and natural language processing, combined with hands-on experience in prompt engineering, deep learning models, and relevant AI frameworks. Key Responsibilities Design and develop effective prompts for conversational AI and NLU systems. Collaborate with engineers and data scientists to integrate and refine prompts. Analyze user behavior and model outputs to enhance prompt quality and response accuracy. Optimize algorithms to improve prompt generation efficiency and effectiveness. Continuously update knowledge on NLP advancements and apply innovative techniques. Test and evaluate prompts for quality, relevance, and user experience improvement. Work cross-functionally to ensure seamless integration of prompts into products. Identify and resolve prompt-related challenges to boost conversational AI performance. Qualifications Bachelor s degree in Artificial Intelligence, Machine Learning, or related field (B.Tech freshers welcome). Strong programming skills in Python and experience with databases and data science methodologies. Proven knowledge of NLP, prompt engineering, and conversational AI or chatbot systems. Familiarity with deep learning concepts including transformers, GANs, VAEs, and large language models (LLMs). Proficiency with AI frameworks such as TensorFlow, PyTorch, and spaCy. Ready to work on-site with rotational shifts (5 working days, 2 weekly offs). Immediate joining preferred. Inclusive, caring culture fostering acceptance and collaboration. Robust learning and development opportunities to accelerate your career growth. Meaningful work on innovative projects shaping the future of AI and digital experiences. Work-life balance with flexible arrangements and supportive policies. A high-trust, ethical organization valuing integrity and transparency. Qualification : Bachelors degree in Artificial Intelligence, Machine Learning, or related field

Job Title: Computer Vision Researcher (3D) AI & Deep Learning | Spyne (Gurgaon) Location: Gurgaon, India | Work Mode: Full-Time, Onsite | Experience: 1 3 Years Keywords: Computer Vision Jobs India, Deep Learning Researcher, GAN Engineer, AI Research Jobs, ML Engineer, Generative AI Careers About Spyne Spyne is transforming the future of automotive retail with next-gen Generative AI. From AI-powered car visuals to a full-stack ecosystem for online vehicle commerce, we re enabling dealerships to create, price, and market inventory faster and smarter. Backed by $16M Series A funding from top VCs like Vertex Ventures and Accel Rapid expansion across the US and EU markets Achieved 5x revenue growth in 15 months aiming for another 3-4x in 2025 Leading the GenAI wave with AI-driven sourcing, pricing, CRM, and Agentic AI tools Role Overview: Computer Vision Engineer / Researcher We re hiring a passionate Computer Vision Engineer (3D) to join our Research & AI Product team. You ll work on state-of-the-art deep learning models especially GANs to develop and deploy scalable image processing and enhancement pipelines across automotive, e-commerce, food, and real estate domains. You ll play a pivotal role in building innovative AI-powered products that impact millions of images and videos, optimizing workflows for global businesses. Key Responsibilities Research & Experimentation Stay up to date with cutting-edge publications in AI, Computer Vision, and Deep Learning. Prototype innovative approaches from top-tier conferences (CVPR, NeurIPS, ICCV). AI Model Development & Deployment Train, fine-tune, and deploy models for image enhancement, segmentation, and classification using PyTorch/TensorFlow. Work on GAN Architectures Develop and optimize Generative Adversarial Networks (GANs) for image inpainting, background removal, super-resolution, and 3D scene generation. Scalable AI Infrastructure Collaborate with MLOps and Data Engineering teams to build robust AI pipelines on cloud platforms (AWS, GCP, Azure). Cross-Team Collaboration Work closely with Product Managers, Software Engineers, and Data Scientists to align AI capabilities with business goals. Mentorship & Guidance Contribute to a culture of innovation by mentoring junior researchers and participating in peer reviews. Requirements & Qualifications Education & Experience B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred) 1 3 years of hands-on experience in Computer Vision, AI model development, and Deep Learning Technical Skills Deep Learning Frameworks: Strong expertise in PyTorch or TensorFlow Generative Models: Proven experience with GANs for real-world use cases Programming: Proficiency in Python, plus experience in C++ or C# Image Processing Libraries: OpenCV, PIL, NumPy, Scikit-image Cloud Platforms: Hands-on experience deploying models on AWS, GCP, or Azure Research Mindset: Ability to implement novel ideas from AI research papers into practical solutions Soft Skills & Work Ethic Strong analytical and problem-solving capabilities Excellent communication and collaboration skills Comfort in a high-performance, office-first environment (5 days/week) Familiarity with Agile, Git, Jira, and collaborative development tools At Spyne, we empower careers not just fill positions. People-First Culture: Supportive team, open communication, and trust Career Acceleration: Fast growth with performance-based promotions and ownership opportunities Health & Insurance Benefits: Comprehensive GMC, GPA, GTLI coverage for employees and families Continuous Learning: Access to LinkedIn Learning, in-house mentorship, and AI research projects Work from Office Advantage: Real-time innovation, mentorship, and collaboration at our Gurugram HQ Competitive Salary + Equity: High-impact role with potential for stock options If you're excited to work on groundbreaking AI + 3D computer vision products, thrive in a startup environment, and want to shape the future of AI-powered automotive retail, we want to hear from you. Apply now and be part of Spyne s journey as we redefine how the world sees and sells cars! Qualification : B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred)

Job Title: Computer Vision Researcher Diffusion Models (Generative AI) Location: Gurugram, India | Work Mode: Full-Time, Onsite (5 Days/Week) Experience: 2+ Years in Generative AI & Computer Vision Who We Are Driving the Future of Automotive AI At Spyne, we re revolutionizing how cars are marketed and sold through cutting-edge Generative AI. What began as a bold idea to automate automotive photography has evolved into a full-stack AI ecosystem that helps dealerships sell faster, smarter, and more visually. Backed by $16M Series A funding (Vertex Ventures, Accel, and more) Expanded into US & EU markets Launched industry-first AI-powered 360 imaging solutions 5x revenue growth in 15 months, targeting 3 4x more this year Pioneering GenAI-powered sourcing, pricing, and CRM for global dealerships Role Overview: Computer Vision Engineer Diffusion Models We re hiring a Computer Vision Researcher with deep expertise in Diffusion Models and Generative AI to push the boundaries of image generation, model fine-tuning, and real-world AI deployment. This is a hands-on research and development role where you will be working with state-of-the-art techniques like Stable Diffusion, ControlNet, and Hypernetworks to build powerful production-ready AI models. Key Responsibilities Fine-Tune Diffusion Models: Optimize diffusion-based architectures for enhanced image quality, realism, and controllability. Prompt Engineering & Output Control: Refine prompt-to-image pipelines using custom prompt engineering strategies. Image Quality Enhancement: Design post-processing and ranking systems to boost visual aesthetics and accuracy. Integrate Advanced AI Models: Combine diffusion models with GANs, Transformers, and other architectures to improve creative outputs. Production-Grade Deployment: Deploy models in scalable environments using Docker, Kubernetes, and cloud services. Cross-Functional Collaboration: Work with researchers, MLOps, and product teams to bring GenAI capabilities into customer-facing platforms. Innovate Continuously: Stay at the forefront of academic and applied AI trends to bring new ideas into Spyne s AI product stack. Ideal Candidate Profile Education & Background B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field 2+ years of experience in Computer Vision, Diffusion Models, and Generative AI Technical Expertise Strong understanding of diffusion models like Stable Diffusion and Denoising Diffusion Probabilistic Models (DDPMs) Hands-on experience with ControlNet, Hypernetworks, LoRA, or similar architectures Proficient in prompt engineering and guided image generation techniques Solid foundation in image processing, deep learning, and model optimization Experience with production AI deployment, including cloud infrastructure, CI/CD, and containerization tools (Docker, Kubernetes) Programming in Python, with experience using PyTorch, TensorFlow, and relevant libraries Soft Skills & Mindset Strong analytical and debugging skills able to troubleshoot models in research and production Excellent communication able to present complex ideas simply A team-first mindset collaborative, adaptable, and ownership-driven Comfortable in a fast-paced, office-first environment focused on innovation and rapid development At Spyne, we build careers, not just roles in an innovation-first, people-centric culture. Employee Benefits & Perks Comprehensive Health & Life Insurance Full coverage for employees and dependents (GMC, GPA, GTLI) Performance-Driven Growth Merit-based career path and ownership opportunities from Day 1 Learning & Development Access to LinkedIn Learning, internal mentorship, and real-world AI challenges Office-First Culture Real-time collaboration, hands-on problem-solving, and innovation that happens faster in person Equity for Top Talent Competitive salary with stock options for high performers If you re a Computer Vision expert passionate about diffusion models, AI research, and bringing GenAI to production, Spyne offers you the platform to build, lead, and grow in one of the fastest-growing AI verticals in the world. Apply Now to be part of Spyne s GenAI journey! Qualification : B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field

Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.

Assistant Manager / Sr. Executive - Performance Marketing Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading travel-tech company based in India, empowering millions of travelers to plan, book, and manage their trips across rail, air, buses, and hotels. Using cutting-edge AI, machine learning, and data science, ixigo helps travelers make smarter decisions. With the inclusion of ConfirmTkt and AbhiBus in 2021, ixigo is positioned as one of the top 10 most downloaded travel apps globally, as per data.ai (2022). We re headquartered in Gurugram, with additional offices in Bangalore and Hyderabad. Job Description We are looking for a Performance Marketer with a creative, analytical mindset to help ixigo continue to grow. In this role, you will manage campaigns across various digital marketing platforms to drive high-quality user acquisition and optimize return on investment (ROI). You will work in a fast-paced startup environment, thrive on problem-solving, and take ownership of driving the growth of one or more of ixigo s products. Your ability to leverage data, craft creative strategies, and test various channels to improve performance will be essential to your success. This is an exciting opportunity to have a direct impact on the growth of our digital platforms. Key Responsibilities Campaign Management: Own and manage paid marketing campaigns across platforms such as Google, Facebook/Instagram, Apple Search Ads, Bing, Snapchat, Twitter, Quora, etc., ensuring the highest possible user acquisition quality. Performance Analysis: Track, report, and analyze performance KPIs across all channels to optimize campaigns and maximize ROI. Highlight potential trade-offs between CPA-based activities, and make data-driven recommendations on budget allocation and strategy adjustments. Growth Strategy Development: Leverage market research and audience insights to segment, target, and engage potential customers effectively. Design creative, data-backed marketing strategies and test campaigns to identify opportunities for improving user engagement and growth. Identifying New Channels & Opportunities: Explore new and emerging marketing channels to drive faster adoption and identify viral growth opportunities. Experiment with new platforms, products, and technologies to uncover strategies that drive growth. Product & Content Optimization: Work closely with product and content teams to identify opportunities for driving viral growth and improving acquisition efforts. Testing and Iteration: Use A/B testing tools, Google Analytics, Adjust, and Firebase to measure, experiment, and refine campaign strategies. Creative Skills: Collaborate with design teams and use tools like Photoshop (or other basic image-editing tools) to create high-quality visual assets for marketing campaigns. Qualifications Must-Have Skills & Experience Education: B.Tech/B.E. from a Tier 1 college (MBA is a plus). Experience: 2 - 4 years of hands-on experience driving user acquisition through digital channels for mobile and internet products. Experience with digital marketing channels such as Google Ads, Facebook/Instagram, Snapchat, Twitter, Apple Search Ads, Quora, etc. Marketing Expertise: Deep understanding of Search Engine Marketing (SEM), Social Media, and Content Marketing strategies. Strong knowledge of A/B testing, Google Analytics, Adjust, Firebase, and other digital marketing tools. Creative & Analytical Skills: Strong creative intuition and analytical thinking akin to a Product Manager. Ability to generate creative marketing solutions while keeping an eye on performance metrics. Technical Acumen: A solid grasp of user behavior and mobile app marketing. Experience using image editing tools (e.g., Photoshop) for campaign assets is a plus. Growth Mindset: Strong curiosity about new apps, web products, SaaS tools, and platforms that can drive faster growth. A knack for identifying trends and testing new ideas to find what works. Behavioral Traits Communication: Exceptional communication skills with the ability to express complex ideas in simple and easy-to-understand terms. Creative Problem-Solver: Ability to come up with creative and effective solutions to marketing challenges. Startup Mindset: Thrive in an an informal startup environment and bring a hands-on, proactive attitude to the table. High Energy & Drive: Possess a high energy level with a commitment to achieving goals and driving team success. Impact: Own and drive the performance marketing strategy for ixigo s products. Dynamic Environment: Work in a fast-paced, high-energy startup culture. Growth Opportunities: Learn and grow in an environment that fosters creativity and innovation. Competitive Compensation: We offer attractive pay and benefits.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Description: Sr. Security Engineer - Application Security About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the Role: The Sr. Security Engineer will be responsible for supporting Gartner s AppSec function. This individual will play an integral role in, executing daily vulnerability Assessments functions; (ii) working closely with Information Security partners, and technology stakeholders to identify risks/vulnerabilities and collaborate with key stakeholders on remediation, developing and tracking risk/vulnerability remediation and prioritize effort across our various business units, partnering to implement security tools, technologies and controls with an appropriate balance of security, business, and user experience, while providing education and training; and engineer automation solutions and/or security tool integrations to assist with day-to-day AppSec responsibilities. What you ll do: Supports day-to-day life cycle management of identification and remediation of security vulnerabilities and threats to Gartner Systems and Data, partnering with key resources on remediation. Ability to create reasonable and actionable recommendations based on the analysis of vulnerability data and impact to Gartner s security posture. Coordinate the orchestration, automation, and management of security technologies and platforms. Own day-to-day life cycle management, including identification, threat assessment, threat modeling and risk avoidance. Apply technical expertise and skills to develop and implement solutions to meet complex business and technical requirements, working collaboratively across functional areas to turn innovative ideas into reality. Define and implement meaningful metrics to measure the effectiveness of security controls through KRIs and security scorecards. Serve as a subject-matter-expert for Application Security; act as a first point of contact for critical issues, security risk assessments and triaging CI/CD issues with Partners and stakeholders. Evaluate business and technical requirements to identify and implement tools, processes, and technologies to improve our security posture in our environments. Ensure the continuous improvement of existing compliance processes. What you ll need: Strong independent critical thinking, problem-solving skills, and the ability to consistently evaluate and pivot based on the current organizational priorities. Proven Experience Developing and maturing KPI s and Metrics to assess the effectiveness of a Application security program. Must Have: 4+ year s of Technical and Professional Expertise. Proven communication, collaboration, and critical thinking skills. Ability to define and communicate risk in a business-relevant language and to non-technical audiences. Deep technical expertise in at least one additional area of Information Security. Ability to think like a bad actor and use that context to develop threat models. Passion for finding flaws in processes and ability to efficiently communicate recommendations to fix them. Proven ability to communicate and educate Engineering and Architecture teams as to why Information Security is an important function to the business. Nice to Have: Familiarity with technical security controls, guidelines, and frameworks outlined by standards such as SOC2, ISO 27001/27013, NIST 800-53. Ability to automate tasks and code solutions to repetitive problems. Scripting or programming experience (Java, .NET, HTML, Ruby, PHP, Perl, C#, Python, JavaScript, PowerShell, Bash). Experience with penetration testing and web application assessment. Who you are: Proven communication, collaboration, and critical thinking skills. Ability to build trusting, meaningful relationships with peers, stakeholders, partners and suppliers. Ability to define and communicate risk in a business-relevant language to both non-technical and technical audiences. Ability to apply expert knowledge to solve complex business/technical issues strategically. Desire for life-long learning and continuous personal/professional development. Don t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

Job Title: Senior Software Engineer Role Overview: As a Senior Software Engineer, you will play a pivotal role in the design, development, and optimization of software applications and solutions. You will leverage your expertise in software engineering best practices, problem-solving, and innovation to deliver high-quality solutions while mentoring junior team members. This role requires strong technical leadership, autonomy, and a deep understanding of software development lifecycles. Key Responsibilities: Software Development & Optimization: Design, develop, and maintain scalable and high-performance software applications. Apply scientific methods to analyze and solve complex software engineering challenges. Optimize code for performance, security, and maintainability. Technical Leadership & Innovation: Provide mentorship and technical guidance to junior engineers. Drive best practices in software engineering, including code reviews, testing, and DevOps. Lead software architecture discussions and contribute to technical decision-making. Collaboration & Stakeholder Engagement: Work closely with cross-functional teams (Product, Design, QA) to ensure seamless software delivery. Engage with stakeholders to translate business requirements into technical solutions. Communicate complex technical concepts to both technical and non-technical audiences. Process Improvement & Compliance: Ensure adherence to software development methodologies, standards, and security protocols. Identify and implement continuous improvement initiatives to enhance efficiency. Stay up-to-date with emerging technologies and drive innovation within the team. Required Skills & Qualifications: Strong proficiency in software design, development, and architecture. Hands-on experience with modern programming languages and frameworks (e.g., Java, Python, .NET, JavaScript). Expertise in cloud technologies (AWS, Azure, Google Cloud) and DevOps practices. Solid understanding of software testing, CI/CD pipelines, and microservices architecture. Strong problem-solving skills with the ability to work autonomously and lead projects. Excellent communication and collaboration skills to engage with stakeholders and mentor peers. Work on cutting-edge technologies in a collaborative and dynamic environment. Contribute to impactful projects that shape the future of technology. Opportunities for career growth, leadership, and continuous learning. If you are a passionate software engineer looking to take the next step in your career, we d love to hear from you!

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

We are seeking a highly experienced Senior Snowflake Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing robust data solutions within Snowflake, ensuring they are efficient, secure, and scalable. Responsibilities Engage in Snowflake data modeling to create and maintain optimized models tailored for data ingestion and analytical needs Develop and sustain ETL pipelines to consolidate data from diverse sources into Snowflake while preserving data integrity Fine-tune the performance of Snowflake deployments, optimize storage usage, and manage data partitioning for prompt and reliable data access Establish strong data security measures, implement role-based access controls, and apply data masking techniques to uphold data governance standards Leverage tools like dbt and Apache Airflow for scheduling and automating data processes and pipeline surveillance Cooperate closely with cross-functional teams including data scientists and business analysts to solve intricate data issues and carry out effective troubleshooting Create detailed documentation and reports on data architectures, ETL processes, and system operations to facilitate clear communication and knowledge sharing across the organization Requirements 5-8 years of experience in a data engineering role Background in information warehousing with AWS or Azure, utilizing DBT, Snowflake Proficiency in Python programming, workflow management tools including Argo, Oozie, or Airflow Snowflake modeling fundamentals like roles, schema, and databases Competency in data vault modeling, designing, and developing data transformation pipelines using DBT We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of experience in a data engineering role

Company Overview: American Express is committed to providing the world s best customer experience every day. The Global Servicing Group (GSG) is central to fulfilling this mission, with over 36,000 team members working across various lines of business, including Customer Engagement, Merchant Services, Credit & Fraud. Within this structure, the Global Capacity & Contact Management (GCCM) team works towards optimizing resources and maintaining consistent customer service levels globally. Role Overview: The Planning & Data Intelligence (PDI) team within GCCM plays a pivotal role in supporting global reporting and analytics. This role involves automating, standardizing, and enhancing the reporting ecosystem to enable better decision-making through data-driven insights. The role will also involve creating a more efficient process for managing large and multiple data sets and collaborating with business partners to drive the future of reporting within the organization. Key Responsibilities: Define Data Architecture Strategy: Contribute to the development of the data architecture strategy and roadmap to enhance the PDI data ecosystem. Automation & Standardization: Analyze the current reporting structure within GCCM and work towards automating and scaling it through self-service functionalities, especially using Tableau. Reporting Innovation: Collaborate with internal partners to create new reporting dashboards within Tableau and other platforms, ensuring better self-service and efficiency. Analytics & Problem-Solving: Leverage your strong analytical skills to solve both practical and theoretical business challenges, applying machine learning, data mining, and statistical analysis techniques. KPIs & Performance Metrics: Develop and manage key performance indicators (KPIs) to promote efficiency, drive awareness, and improve reporting systems across teams. Reporting to Leadership: Provide on-demand reporting and insights to senior leadership, helping them make informed decisions. Dashboard Development & Adoption: Coordinate the development and testing of new dashboards, ensuring data validation and documentation. Assist in training teams to adopt these tools effectively. Innovation & External Research: Continuously seek new ideas and innovations from external sources to bring best practices into the team s work. Required Qualifications: Educational Background: Bachelor's degree or equivalent combination of education and work experience. Technical Expertise: Expert knowledge in VBA, SQL, Cornerstone, Hive, and Python. Familiarity with workforce management KPIs and Tableau for report building is a plus. Data Analysis & Manipulation: Experience using SAS, Big Data analytics, and statistical software for data analysis and manipulation. Problem-Solving & Analytical Skills: Strong ability to perform deep dive analyses of business metrics, providing actionable solutions and recommendations. Call Center Management Expertise: In-depth understanding of call center principles and how they impact operations. Adaptability & Communication: Ability to work in a fast-paced environment with changing demands, managing multiple tasks effectively. Exceptional written and verbal communication skills in English. Collaboration Skills: Strong interpersonal skills to collaborate and influence across different organizational levels and teams. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Working Arrangements: Hybrid, onsite, or virtual options depending on role and business needs. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness & Support Programs: Access to global wellness centers and confidential counseling support through the Healthy Minds program. Career Growth Opportunities: Continuous career development and training opportunities. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelor's degree or equivalent combination of education and work experience.

Account Executive Enterprise Software Sales (Gurgaon, India) Full-Time | India Gurgaon | Salesforce MuleSoft About the Role MuleSoft, a leader in enterprise integration and API management, is revolutionizing the way organizations connect data, applications, and devices. With over 1,200 global enterprise customers and a growing market, we re looking for a high-performing Account Executive based in Gurgaon, India, to drive growth and revenue across strategic accounts. As an Account Executive, you will take ownership of your territory, lead the end-to-end sales process, and deliver high-impact solutions that solve critical integration challenges for CIOs and business leaders. Key Responsibilities Own and execute the full sales cycle from prospecting to deal closure for enterprise-level software solutions Drive revenue growth by exceeding sales quotas and building a strong pipeline of opportunities Engage senior IT and business leaders in consultative, outcome-based sales conversations Develop and execute a go-to-market strategy for greenfield and existing accounts Collaborate with cross-functional teams including Sales Engineering, Marketing, and Customer Success Deliver long-term value to customers through API-led connectivity and digital transformation solutions Your First Year at MuleSoft Exceed your ramped annual quota and create a strong pipeline for long-term growth Develop deep expertise in MuleSoft s integration platform, sales methodology, and product ecosystem Partner with global Sales Enablement to complete onboarding and continuous training programs Gain exposure to complex, high-value enterprise deals and build trusted client relationships Join a collaborative, inclusive, and mission-driven team committed to customer success Requirements & Qualifications 7+ years of B2B technology sales experience, preferably in middleware, integration, or enterprise software Proven success in closing large enterprise deals valued at $500K+ Strong track record of selling to C-level executives, especially in the public sector in India Demonstrated experience building a business in greenfield territory Strong consultative sales skills with a focus on delivering strategic business outcomes Excellent communication, negotiation, and stakeholder management skills A collaborative, team-first mindset and a passion for solving complex business challenges Bachelor s degree or equivalent experience (including leadership, military, or volunteer roles) MuleSoft is a Salesforce company with a mission to empower organizations to innovate faster and integrate smarter. Our unified platform connects apps, data, and devices, making digital transformation simple and scalable. Companies like Spotify, McDonald s, and Unilever trust us to enhance agility and drive business success. At MuleSoft, people come first. We re committed to building an inclusive, high-performing workplace where every individual is supported and inspired to do their best work. We ve been recognized as a #1 Top Workplace in the Bay Area and a Best Place to Work for six consecutive years. Apply now to become a part of a visionary team that s redefining enterprise integration and shaping the future of connected business. Qualification : Bachelors degree or equivalent experience (including leadership, military, or volunteer roles)

Job Summary: Senior Application Specialist Location: Gurgaon, India Grade Level: 10 Department: Operations Group Company: S&P Global Market Intelligence Overview: As a Senior Application Specialist, you will play a pivotal role in delivering expert-level application support for thinkFolio, S&P Global s portfolio management software. You will be the primary liaison for troubleshooting and resolving client issues, maintaining service excellence, and contributing to documentation and process improvements. This role offers extensive cross-functional collaboration and interaction with global clients in the banking, asset management, and hedge fund industries. Key Responsibilities: Serve as a product expert for thinkFolio, offering technical and functional support to clients. Troubleshoot and resolve complex client issues efficiently, escalating when necessary. Manage incoming support requests, ensuring SLAs are met while maintaining clear communication. Document client issues, resolutions, and communication using internal support systems. Collaborate with global teams across business lines and senior management for knowledge sharing and resolution tracking. Contribute to the creation and maintenance of user manuals, troubleshooting guides, and knowledge base content. What You Bring: Education: Bachelor s degree in Computer Science, Information Technology, or related field. Experience: 5+ years in enterprise software support; experience in financial services or investment systems is preferred. Technical Skills: Proficiency in SQL, scripting languages, and data analysis tools. Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to multitask and prioritize under pressure. Mindset: Customer-first attitude with an aptitude for learning new financial technologies and sharing knowledge. What s In It for You: Accelerated growth through exposure to enterprise software used by global financial institutions. Cross-regional collaboration and learning opportunities in a high-impact environment. Access to continuous learning, competitive compensation, wellness programs, and family-friendly benefits. The chance to be part of a global, inclusive organization driven by Integrity, Discovery, and Partnership. About S&P Global Market Intelligence: A division of S&P Global, we provide essential data, insights, and technology that enable clients to make confident decisions. We empower businesses to track markets, manage risk, and identify opportunities in a fast-changing global environment. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

Job Summary: Associate, Technical Application Support Location: Gurgaon, India Department: Operations Group Division: S&P Global Market Intelligence Role Overview: As an Associate in Technical Application Support, you will be a key technical consultant supporting S&P Global s Channels Data Delivery solutions. You will work closely with global product specialists, sales teams, and external customers to deliver high-quality technical assistance around product deployment, configuration, performance tuning, and troubleshooting. Your expertise will bridge customer environments and our data delivery products, ensuring smooth integration into mission-critical workflows. Key Responsibilities: Provide deep technical support for Channels Data Delivery products, including Xpressfeed Loader deployment and configuration. Assist with sizing, deployment, troubleshooting, and performance tuning in client environments. Partner with pre- and post-sales teams to support client needs and opportunities. Drive innovation by proposing automation and efficiency improvements in support processes. Monitor evolving product features, participate in strategy discussions, and contribute to product testing. Act as the voice of the customer by relaying feedback for product enhancements. Support client implementations, upgrades, migrations, and ongoing technical operations. Who You Are: Education: Degree in Computer Science, Information Systems, or equivalent experience. Experience & Skills: Strong troubleshooting and problem-solving skills with attention to detail. Hands-on experience with software deployments, Windows/Linux OS, and SQL querying. Familiarity with cloud environments (AWS, Azure, or Google Cloud), especially AWS EC2 and RDS/Aurora. Comfortable leading client-facing technical discussions. Preferred: Knowledge of finance, capital markets, and database administration (SQL Server, Oracle, PostgreSQL). Experience with FTP, proxies, network and security protocols, and data integration techniques. Familiarity with Agile/SCRUM and product development lifecycle. What You ll Gain: A dynamic role interacting directly with clients and global teams on enterprise-level financial data products. Exposure to the evolving landscape of financial markets and technology-driven data solutions. Opportunities for career growth through continuous learning, skill development, and cross-functional collaboration. Access to competitive benefits supporting your health, well-being, and financial future. About S&P Global Market Intelligence: S&P Global Market Intelligence provides trusted data, insights, and technology solutions that empower customers to make informed business decisions. Our team is dedicated to excellence, integrity, and innovation in delivering essential intelligence to global markets. Qualification : Degree in Computer Science, Information Systems, or equivalent experience.

Job Title: Growth Consultant Logistics SaaS | Gurgaon, Haryana Location: Gurgaon, Haryana Job Type: Full-time Industry: Logistics Technology | SaaS | Supply Chain Solutions Company: Shipsy About Shipsy Shipsy is a leading global SaaS company revolutionizing the logistics and supply chain industry through AI-powered solutions. In an industry worth trillions but still reliant on manual processes, our technology provides end-to-end shipment visibility, cost optimization, and enhanced customer experiences for some of the world s most renowned businesses. Our client base spans the Middle East, India, and Southeast Asia, and includes top-tier enterprises like Reliance, Domino s, Zepto, UPS Gulf, DTDC Express, Burger King, and Landmark Group. With over 3 million shipments processed daily, nearly 10% of India s container trade is tracked using our platform. Backed by global investors like Peak XV Partners, InfoEdge, and A91 Partners, we've raised $35M+ and grown to a 280+ member team across offices in Gurgaon (HO), Mumbai, Bangalore, and Dubai. Position Overview: Growth Consultant As a Growth Consultant at Shipsy, you'll act as a strategic advisor and customer success partner, helping clients realize the full potential of our logistics tech platform. You ll drive account growth by identifying new use cases, enhancing adoption, and ensuring clients achieve maximum ROI. This is a high-impact, consultative role requiring strong relationship-building, analytical thinking, and logistics domain expertise. Key Responsibilities Client Success & Relationship Management Build and maintain strong relationships with senior client stakeholders. Align client objectives with Shipsy s solutions to deliver business value. Conduct regular on-site visits to strengthen partnerships and understand evolving client needs. Growth Strategy & Account Expansion Analyze client usage and develop tailored growth strategies. Identify new use cases and encourage product adoption across departments. Lead strategic conversations that position Shipsy as a long-term partner. Customer Success Operations Serve as a trusted advisor by proactively addressing client challenges. Track KPIs and ensure timely adoption of new product features and enhancements. Monitor client performance metrics to ensure success outcomes are achieved. Upselling & Cross-Selling Identify upselling and cross-selling opportunities based on client goals. Collaborate with Sales and Product teams to facilitate renewals and expansion. Data-Driven Client Consulting Utilize data and analytics to deliver actionable insights and identify risks. Report on adoption trends, usage levels, and client engagement. Training & Enablement Deliver onboarding, training sessions, and resources tailored to client needs. Create customized enablement plans to help clients achieve faster time-to-value. Customer Advocacy & Feedback Act as the voice of the customer, communicating insights to Product and Engineering. Drive feature suggestions and improvements based on real-world use. Qualifications & Skills Bachelor s degree in Business, Sales, Marketing, or related field; Master s is a plus. 3+ years of experience in Customer Success, Account Management, or Consulting preferably in SaaS, Logistics, or Supply Chain tech. Proven ability to manage large enterprise accounts and foster long-term partnerships. Strong first-principles thinking and a strategic, problem-solving mindset. Familiarity with CRM tools and customer success platforms. Excellent communication, interpersonal, and organizational skills. Self-starter who thrives in a fast-paced, dynamic environment. Willingness to travel for client meetings and business reviews. Competitive compensation and performance-linked incentives. Access to world-class learning opportunities including a scholarship program. Collaborative, energetic, and diverse team culture built on innovation. Work alongside top talent from IITs, NITs, and global research institutions. Make a tangible impact in the digital transformation of global logistics. Join Shipsy and help leading global enterprises unlock their true potential through smart logistics technology. Qualification : Bachelors degree in Business, Sales, Marketing, or related field; Masters is a plus.

Job Title: Account Director | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Company: Shipsy About Shipsy Shipsy is a global leader in the logistics technology space, offering cutting-edge SaaS solutions that automate warehousing and transportation operations. Our platform helps businesses significantly reduce logistics costs, streamline workflows, and enhance customer experience. We work with renowned enterprises across India, the Middle East, and Southeast Asia, including major brands like Reliance, Domino's, UPS Gulf, DTDC Express, Burger King, and Landmark Group. Shipsy s platform processes over 2 million shipments daily, with 10% of India's container trade being tracked on our system. With backing from leading investors like Peak XV Partners, Infoedge, and A91 Partners, we ve raised approximately $35M to date. Our team is over 280+ members strong, spread across offices in Gurgaon, Mumbai, Bangalore, and Dubai. We re committed to building a fun, dynamic, and growth-oriented work culture, where every team member can thrive and make a meaningful impact. Role Overview: Account Director As an Account Director at Shipsy, you will play a key role in growing and nurturing our relationships with large global clients. You will take ownership of the P&L for critical accounts, ensuring we meet revenue targets, business success metrics, and customer satisfaction. Your role will involve strategic leadership, collaborating with cross-functional teams, driving projects that align with client goals, and providing insights to improve our products and services. As the main point of contact for high-level stakeholders, you'll help shape the future of our product while contributing to Shipsy s overall growth. Key Responsibilities Client Relationship Management Build and maintain strong relationships with CXOs and key decision-makers at large global accounts. Serve as the strategic advisor to clients, ensuring long-term value delivery from Shipsy s platform. Manage a portfolio of critical accounts, ensuring high customer satisfaction, retention, and business success metrics (NPS, revenue growth, etc.). Revenue Growth Achieve revenue targets by identifying new business opportunities and growing existing accounts. Drive the expansion of product offerings within existing accounts, ensuring clients are fully utilizing Shipsy s solutions to meet their logistics needs. Thought Leadership and Industry Insight Provide thought leadership by leveraging deep industry, product, and customer insights to build tailored solutions. Stay ahead of industry trends and bring back critical feedback to the product team to inform the roadmap and ensure alignment with customer needs. Cross-functional Collaboration Collaborate closely with product teams, engineering, and other stakeholders to deliver innovative solutions that address client challenges. Facilitate the implementation process, ensuring projects are executed on time and meet client expectations. Strategic Account Planning Lead strategic account planning sessions with clients, developing mutual performance objectives, financial targets, and critical milestones for short-term and long-term success. Oversee project management, ensuring timelines, schedules, and deliverables are met. Process Optimization Identify and implement best practices, tools, and resources to optimize the client management function and ensure successful project outcomes. Innovate new methods of analysis and strategies to improve client interactions and maximize value. Qualifications & Skills B.Tech from a Tier 1 School (preferred). Strong analytical skills, with the ability to solve complex problems using first principles thinking. Proven ability to collaborate cross-functionally and lead teams towards shared business goals. Excellent communication and interpersonal skills, with a talent for building relationships with senior stakeholders and CXOs. Strong business acumen with the ability to drive revenue outcomes, manage P&Ls, and contribute to strategic planning. Experience in managing large accounts and a deep understanding of SaaS or logistics tech industries. Problem-solving and data management skills, with a focus on delivering results and meeting client needs. Growth opportunities in a dynamic and rapidly expanding company. Work with top talent from premier institutes and companies. Innovative, supportive, and inclusive company culture where your ideas and contributions are valued. Competitive salary with performance-based incentives. World-class benefits and professional development programs to help you grow in your career. Become part of a global team at the forefront of logistics technology. Join Shipsy and contribute to transforming the logistics space while building a career filled with growth, innovation, and success. Qualification : B.Tech from a Tier 1 School (preferred).