Data Scientist With Python Jobs in Gurgaon

Product Analyst - Team Lead (Risk) Location: Gurugram, Haryana (On-site) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, transforming commerce for millions of small businesses. Our mission is to empower half a billion Indians by bringing them into the mainstream economy using innovative technology. About the Team The Credit Risk Product Team plays a critical role in lending by developing efficient, scalable, and compliant risk assessment models. The team partners with data scientists, engineers, and business stakeholders to refine underwriting processes through advanced analytics and machine learning optimizing loan performance and minimizing defaults. Role Overview We are looking for a detail-oriented Product Analyst to lead credit risk initiatives. In this role, you will implement and optimize credit risk policies while ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance underwriting models and risk decision frameworks. Key Responsibilities Analyze credit risk across multiple credit products, such as credit cards, merchant loans, and personal loans. Collaborate with business teams to understand and implement credit risk policies on the platform. Monitor and evaluate the performance of risk policies; provide actionable feedback to Product and Policy teams. Leverage alternative data sources, machine learning models, and traditional credit assessments to improve risk evaluation. Conduct testing, scenario analysis, and policy resilience measurement. Track key risk indicators (KRIs) and generate insights for management. Ensure compliance with regulatory guidelines and internal risk frameworks. Work with product and technology teams to embed risk-based decision-making into lending workflows. Qualifications 1 2 years of relevant experience, preferably in fintech or banking. Strong proficiency in SQL and Python for data analysis and manipulation. Basic understanding of APIs and streaming platforms like Kafka is a plus. Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment and collaborate cross-functionally. Educational background: B.Tech from reputed institutes like NIT, BITS, or equivalent. Be part of India s largest fintech lending ecosystem with 500+ million users and 21+ million merchants. Work in a fun, energetic environment designed to help you reach your full career potential. Unique opportunity to shape India s largest digital lending story and drive financial inclusion.

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

Senior Backend Engineer / Tech Lead Location: Gurugram, India Type: Full-Time Experience: 6 9 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. Our product suite powers lakhs of daily transactions and enables top financial advisors across the country to guide investors toward achieving their financial goals. If you're passionate about building scalable systems that impact millions, this is your opportunity to shape the future of investing in India. Role Overview We re looking for a Senior Backend Engineer / Tech Lead to join our growing technology team. You will lead backend development initiatives, work on performance-critical services, and contribute to designing highly available, scalable systems. You ll also mentor team members, lead system architecture efforts, and ensure that our platforms run reliably and efficiently. Key Responsibilities Team Leadership: Lead and mentor a team of backend engineers, review code, and ensure best engineering practices. System Design: Architect scalable, secure, and maintainable backend systems. Service Development: Build and maintain RESTful APIs using Node.js and Express.js. Performance Optimization: Ensure sub-second server response times and optimize backend performance. Database Management: Design and manage MySQL, with working knowledge of MongoDB and Elasticsearch data stores effectively. Cloud Infrastructure: Deploy and monitor cloud-based services; ensure system reliability and uptime. Messaging & Indexing: Implement messaging queues and indexing mechanisms for real-time data flows. Technical Communication: Present architectural designs, participate in sprint planning, and collaborate with cross-functional teams. Required Skills & Qualifications 6 9 years of backend development experience with expertise in Node.js, Express.js, and JavaScript. Strong background in system architecture, API design, and complex problem solving. Proficiency in MySQL, with working knowledge of MongoDB and Elasticsearch. Solid understanding of data modeling, caching, and asynchronous processing. Bachelor's degree in Computer Science or equivalent professional experience. Familiarity with DevOps tools, cloud environments, and CI/CD pipelines is a plus. Strong analytical, debugging, and performance tuning skills. Preferred Skills Experience with Python, Java, or additional backend languages. Knowledge of containerization tools (e.g., Docker, Kubernetes). Hands-on experience with message brokers (e.g., RabbitMQ, Kafka). Perks & Benefits 5-day work week with flexible timings. Group medical insurance coverage up to 3 Lakhs for all permanent employees. Fun, collaborative work environment with regular team activities. Complimentary consultations with financial planners for your personal financial journey. Resources and mentorship to help you get started with your own investments. At Investwell, you ll be part of a mission to make quality financial planning accessible to everyone. You ll work with a high-impact team, solve real-world scalability challenges, and play a key role in shaping the future of fintech in India. Qualification : Bachelor's degree in Computer Science or equivalent professional experience.

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: Product Manager (LLMs & AI) Location: Gurgaon, Haryana Experience: 3-7 years Department: Product Management Employment Type: Full-Time About Spyne At Spyne, we are redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help dealers sell online faster has grown into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we are scaling rapidly: Expanded across US & EU markets. Launched industry-first AI-powered Image & 360 solutions. Achieved 5X revenue growth in 15 months, with a goal for 3-4X growth this year. We are now rolling out an end-to-end GenAI Automotive Retail Suite and expanding into the US market to bring our AI-driven products to 3,000-4,000 dealers. What We Are Looking For We are looking for an experienced Product Manager to lead the development of Large Language Model (LLM)-powered applications and AI agents. This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to create advanced, context-aware conversational agents and automation systems. As a Product Manager (LLMs & AI), you will work on defining and delivering AI solutions that transform the user experience, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This is a critical role in shaping Spyne s product strategy, translating user needs into AI-driven solutions, and collaborating with cross-functional teams to deliver innovative, AI-powered products. Product Strategy & Vision: Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools. Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Advancements: Stay updated on emerging capabilities like multi-turn dialogue, in-context learning, and fine-tuning techniques. AI Agent Development: Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions: Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption: Convert user pain points into intuitive AI-driven solutions with explainable outputs. Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions. Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning: Collaborate with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics: Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization: Enhance AI model efficiency and user satisfaction through iterative improvements. What You Must Have 1 3 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (e.g., GPT, Claude). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrive in fast-paced, ambiguous environments. Strong Culture: A supportive and collaborative work environment that encourages innovation. Transparency & Trust: High levels of autonomy and trust in decision-making. Competitive Salary & Equity: Stock options for top performers. Health Insurance: Comprehensive coverage for employees and their dependents, including GMC, GPA, and GTLI coverage. Dynamic Growth Environment: Join a fast-paced, high-growth setting that will accelerate your professional development. Shape the Future of AI-Powered Automotive Retail If you're passionate about AI and want to play a key role in transforming the automotive retail experience, join Spyne and help us define the future of AI-powered automotive retail!

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.

Growth Analyst Location: Gurugram, India Employment Type: Full-time About ixigo ixigo is a technology company revolutionizing the way Indian travelers plan, book, and manage their trips. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo helps travelers make smarter decisions through AI, machine learning, and data science. With apps like ixigo, ConfirmTkt, and AbhiBus, ixigo offers travelers the ability to book train, flight, bus tickets, hotels, and much more. In 2022, ixigo was named one of the Top 10 Most Downloaded Travel Apps worldwide (data.ai). Headquartered in Gurugram, ixigo also has offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus). Job Description We are looking for a Growth Analyst to join our dynamic team. As a Growth Analyst, you will help us unlock growth opportunities by analyzing customer behavior and campaign performance. You will collaborate closely with marketing, product, and data teams to develop data-driven strategies that drive user acquisition, activation, retention, and revenue growth. Your work will directly impact how we scale smarter and faster. Key Responsibilities Data Analysis & Insights: Analyze user behavior, campaign performance, and funnel metrics to identify and drive growth opportunities. Reporting & Dashboards: Build and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to track key performance indicators (KPIs). Data Querying & Processing: Develop SQL queries to extract, clean, and aggregate data from various sources and databases. A/B Testing & Experimentation: Design and run A/B tests and experiments to evaluate new growth initiatives and optimize performance across all user touchpoints. Strategic Collaboration: Work closely with marketing and product teams to design data-driven growth strategies that increase customer acquisition, activation, retention, and lifetime value (LTV). Campaign Measurement & Optimization: Support the measurement of paid and organic campaigns (including email, search, social media) and provide actionable insights to improve their effectiveness. Core Technical Skills SQL & Relational Databases: Advanced querying skills, performance tuning, working with window functions and CTEs. Data Visualization & BI: Proficiency in tools like Tableau, Power BI, or Looker for building dashboards and reports. Spreadsheet Modeling: Expert-level proficiency in Excel (pivot tables, macros; VBA is a plus). Scripting Languages: Familiarity with at least one scripting language (e.g., Python or R) for data cleaning, ETL tasks, and basic machine learning prototypes. Marketing Analytics Tools: Hands-on experience with Clevertap and Firebase for user engagement and campaign tracking. Good to Have Marketing Analytics Tools: Experience with tools like Google Analytics 4, Mixpanel, and Clevertap for campaign performance tracking. Ad Platforms: Basic understanding of programmatic ad platforms (e.g., DV360, Meta Ads API). Data Warehouses: Exposure to SQL-based data warehouses like Snowflake, BigQuery, or Redshift. Impactful Work: Directly contribute to the growth and success of a leading travel tech company. Collaborative Culture: Work with talented professionals across diverse teams. Career Growth: Opportunities for fast-paced career development. Competitive Compensation: Enjoy a competitive salary and benefits package. Work-Life Balance: We encourage a healthy work-life balance in a supportive environment.

Principal Engineer - Backend (Java) Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading technology company in the Indian travel space, enabling smarter travel decisions for millions of users through AI, machine learning, and data science innovations. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo powers platforms like ixigo, ConfirmTkt, and AbhiBus, helping travelers plan, book, and manage their journeys across rail, air, bus, hotels, and more. As of 2022, ixigo was named among the Top 10 Most Downloaded Travel Apps worldwide, according to data.ai. Headquartered in Gurugram, ixigo also has offices in Bangalore and Hyderabad. Job Description As a Principal Engineer at ixigo, you will play a critical role in the design, planning, development, and deployment of our software applications. You will be responsible for building highly scalable, multi-tier, and distributed server software applications, ensuring their performance, stability, and overall quality. This role requires you to lead, own, and drive projects from concept to deployment, working closely with product managers, designers, and quality teams. If you're a hands-on engineer with a passion for building impactful products and solving complex problems, this is the role for you! Key Responsibilities Product Development: Design, develop, and architect features for existing applications, ensuring scalability, performance, and reliability. Own product modules end-to-end, ensuring that features are delivered on time, with high quality and performance. System Architecture & Performance: Design and implement highly scalable, multi-tier, distributed server applications with a focus on performance, scalability, and availability. Identify, troubleshoot, and resolve issues related to performance, stability, and memory management, using tools like Instruments and Shark. Collaboration: Collaborate with cross-functional teams including Tech, Design, and Quality to build and launch products that meet business objectives. Work directly with developers and product managers to conceptualize, build, test, and release new features. Continuous Improvement: Continuously evaluate new technologies and frameworks to maximize development efficiency and performance. Ensure that best practices are followed across the development life cycle, from design to release and maintenance. Qualifications Required Skills Experience: 5-8 years of professional experience in backend development. Expertise in Java/J2EE technologies. Technical Proficiency: Strong understanding of Java/J2EE, design patterns, and advanced data structures. Proficient in working with relational databases like MySQL or Postgres. Experience with MongoDB, Web services, and REST APIs. Performance & Scalability: Solid experience in designing systems for performance, scalability, and availability. Skilled in memory management, multithreaded programming, and performance optimization using tools like Instruments and Shark. Additional Skills (Good to Have): Familiarity with Python, NodeJS, Redis, and ElasticSearch is a plus. Experience with e-business or e-commerce applications is highly desirable. Experience working in the travel industry or with internet companies will be an advantage. Education: Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs). Behavioral Traits Strong leadership skills with the ability to manage and mentor junior engineers. Ability to work effectively in a fast-paced, dynamic, and informal startup environment. High energy level, self-motivation, and a commitment to driving team goals. Excellent problem-solving and communication skills. Strong interpersonal skills and the ability to work in a collaborative team environment. Impactful Work: Lead critical product features that impact millions of travelers. Innovation Culture: Work in a dynamic environment that fosters innovation, creativity, and collaboration. Career Growth: Accelerate your career in a fast-growing tech company. Competitive Compensation: Attractive salary and benefits package. Work-Life Balance: A supportive and flexible work environment. Qualification : Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs).

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.

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven 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, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Position: Junior Technical Product Strategist - Cash Management Group About the Role: BlackRock is one of the world s leading asset management firms, offering a wide range of investment management, risk management, and advisory services. The Cash Management Group, part of the Global Cash Management team, manages Prime and Government Money Market and Ultra-Short Duration Mutual Funds and Separate Accounts, focusing on capital preservation, liquidity, and yield. The team uses a risk-controlled framework to deliver investment returns based on credit, interest rate trends, and relative value opportunities. Business Unit Overview: The Cachematrix Technical Product Strategy team is part of the Global Cash Management group and works with the Cachematrix Liquidity Management platform, a SaaS-based product that powers custom trading solutions for leading financial institutions worldwide. This platform provides seamless integration with core cash management systems or operates as a stand-alone system. Your Responsibilities: Analysis and Solution Definition: Collaborate with stakeholders to gather and document business requirements. Create and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), and Business Process Requirements (BPRs). Develop and execute test strategies for User Acceptance Testing (UAT) and provide feedback for improvements. Technical Recommendation and Testing: Identify, document, report, and track defects and issues. Manage issue reporting and triage, providing timely escalation as needed. Project Execution and Support: Offer business and platform support to ensure smooth platform operations. Oversee vendor data to maintain data integrity, verify accuracy, and ensure reconciliation. Set up and oversee client data extracts for seamless integrations. Build and maintain reports, including ad-hoc and automated reports, to support business needs. Communication: Deliver support and training demos to stakeholders and document operating models and handoff processes. Manage stakeholder communication between business and development teams. Preferred Experience: 1-3 years of experience as a Business Analyst or UAT Tester. Bachelor s degree in Business Administration, Information Technology, or a related field. Strong understanding of the software development lifecycle (SDLC) and testing methodologies. Excellent analytical and problem-solving skills. Familiarity with Agile & Scrum methodologies. Industry knowledge of financial services and processes. Experience with JIRA, Confluence, Miro, Visio, Aha or similar tools. Proficiency in SQL for querying and data analysis. Experience with data visualization and business intelligence tools such as Power BI, Tableau, Adobe Analytics, or similar platforms is preferred. Familiarity with programming languages like Python is a plus. Qualification : Bachelors degree in Business Administration, Information Technology, or a related field.

We are looking for an experienced Backend Engineer with excellent development skills in Python and Django framework. Role And Responsibilities: Write effective, scalable code Develop cloud-based Python Django software products Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Participating in architectural, design, and product discussions Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical Required Skills and Capabilities: Bachelor s degree in computer programming, computer science, or a related field Expert in Python with knowledge of Django Web Framework Familiarity with some ORM (Object Relational Mapper) libraries Working knowledge of MongoDB and MySQL Fair understanding of building RESTful APIs Worked with Django application deployment on AWS, Heroku, GCP, Docker platforms Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Understanding of accessibility and security compliance Knowledge of user authentication and authorization between multiple systems, servers, and environments Familiarity with event-driven programming in Python Able to create database schemas that represent and support business processes Strong unit test and debugging skills Proficient understanding of GitHub, JIRA, GSuite Critical thinker and problem-solving skills Great interpersonal and communication skills Qualification : Bachelors degree in computer programming, computer science, or a related field

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

Position Title: Global Services Group (GSG) MIS & Analytics Analyst Functional Overview: The Global Services Group (GSG) delivers exceptional customer care, handling key functions such as Credit, Collections, and Fraud Services for our Cardmembers, Merchants, and Commercial Clients globally. Within GSG, the Late-Stage MIS & Analytics team plays a pivotal role in supporting executive leadership with comprehensive data insights, performance tracking, and business intelligence to drive key operational decisions. What You'll Do: MIS & Analytical Support: Provide in-depth MI and analytical support to executive leadership, focusing on key operations metrics across all Servicing functions within GSG. MIS Maintenance & Issue Resolution: Ensure the smooth operation of existing MIS systems, identify any data deficiencies promptly, and collaborate with relevant teams to resolve issues. Leadership Reporting & Insights: Understand and translate leadership's analytical and reporting needs into effective, user-friendly solutions that enhance decision-making. Industry Trends & Methodologies: Stay updated with the latest industry trends in analytics and emerging technologies, continuously improving reporting processes and methodologies. Required Qualifications: Technical Proficiency: Strong expertise in Hive, SQL, Big Query, Python, and statistical packages, with a solid understanding of Big Data ecosystems. Data Visualization: Proficient in using Tableau and Power BI to create impactful data visualizations. Communication & Relationship Management: Excellent communication skills with the ability to build strong relationships and collaborate effectively with leadership and cross-functional teams. Multitasking & Flexibility: Ability to manage multiple projects simultaneously, work under tight deadlines, and adapt to changing priorities. Analytical Mindset: Strong background in quantitative business analytics, with a creative and conceptual approach to solving business problems. Project Management Skills: Ability to manage projects effectively, translating business requirements into actionable insights and driving successful outcomes. Benefits & Perks: Competitive Compensation: Base salary and bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location). Access to on-site wellness centers (where applicable). Work-Life Balance: Flexible working arrangements, including hybrid, onsite, or virtual roles, depending on business needs. Parental Leave: Generous paid parental leave policies (depending on location). Career Development: Opportunities for continuous learning, career development, and training. Mental Health Support: Access to free, confidential counseling support through the Healthy Minds program. Why American Express? American Express is an equal opportunity employer, committed to creating a diverse and inclusive workplace. We offer a culture where everyone is seen, heard, and valued. Employment decisions are made based on merit, 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.