Data Engineer Jobs in Gurgaon

Job Title: AI/ML Team Lead Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is committed to advancing the vital work of farmers and builders worldwide. Our cutting-edge solutions from alternative power sources to precision technology drive productivity while caring for our planet. Join a collaborative global team passionate about innovation and customer success. Job Purpose Lead the design, development, and deployment of advanced AI/ML and Generative AI solutions to drive innovation and business value. Act as the technical and strategic leader shaping AI initiatives, ensuring scalable and ethical architectures aligned with business goals. Manage cross-functional collaboration and communicate complex concepts clearly to drive adoption. Experience in both POCs and production-grade AI solutions is essential. Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as chatbots, intelligent document processing, code generation, content summarization, and personalization. Customize and fine-tune foundation models (GPT, LLaMA, Claude, Mistral) for domain-specific applications. Evaluate and integrate GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute a Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business teams to prioritize AI use cases. Lead POCs and pilots validating AI ideas before scaling. Ensure secure, ethical, and governed deployment of AI systems. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Azure Focus) Deploy and operationalize models on cloud platforms, especially Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure including vector databases, inference endpoints, and GPU resources for performance and cost-efficiency. Utilize MLOps practices for lifecycle management and reproducibility. Experience Required 8+ years in AI/ML roles with 2+ years focused on Generative AI. Proven hands-on experience with foundation models (GPT-4, Claude, LLaMA) and tooling ecosystems. Proficient in Python and AI/ML libraries such as PyTorch and Hugging Face Transformers. Deep knowledge of prompt engineering, RAG, LLMOps, and model fine-tuning. Experience with vector databases like FAISS, Pinecone, Weaviate, or Azure AI Search. Familiarity with enterprise AI integration via APIs, plugins, and cloud deployment. Preferred Qualifications Bachelor s, Master s, or PhD in Computer Science, Machine Learning, AI, or related fields. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility & family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial innovate for a sustainable future and help build better lives.

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

Job Title: Senior Software Developer (SAP BusinessObjects) Location: Gurugram, India Job Type: Full-Time | Permanent About G+D For over 170 years, Giesecke+Devrient (G+D) has been a global leader in SecurityTech, delivering innovative solutions in Digital Security, Financial Platforms, and Currency Technology. We safeguard physical and digital currencies worldwide. Join us and help shape the future of secure payments and cash management. Role Summary As a Senior Software Developer (SAP BusinessObjects), you will design, develop, and test reports and dashboards for our Compass Cash Center product, which serves banks and cash-in-transit businesses globally. You will focus on SAP BusinessObjects data engineering, universe design, and report creation to provide actionable insights supporting cash management operations. You will collaborate closely with cross-site Scrum teams based in India and Germany. Key Responsibilities Design, implement, and test SAP BusinessObjects reports for cash management solutions. Develop and maintain data models and universe designs aligned with reporting requirements. Create custom Web Intelligence reports and interactive dashboards. Collaborate with stakeholders to gather and understand detailed reporting needs. Assist in effort estimation for new reports and enhancement projects. Troubleshoot and resolve report development and performance issues. Develop proof of concepts (PoCs) to validate reporting designs and assumptions. Provide user training and documentation for reporting tools and processes. Participate in continuous development process improvements. Required Skills & Qualifications Bachelor s degree in Computer Science or related field. 5+ years of experience developing reports using SAP Business Intelligence (SAP BO 4.x). Certification in Web Intelligence for Business Intelligence (BI) Analytics preferred. 2+ years of experience with RDBMS technologies (Oracle, SQL Server). Strong proficiency in SQL and experience with Java and .NET applications. Hands-on experience with SAP BO Administration and universe design. Familiarity with version control tools like Git and Azure DevOps. Excellent troubleshooting and debugging skills. Strong communication skills with experience in multicultural team environments. Our greatest asset is our people. We foster an inspiring and diverse workplace that values professionalism, human values, and continuous growth. Join our international team and help improve security for billions worldwide. Qualification : Bachelors degree in Computer Science or related field.

Director Product Management Location: Gurugram Experience: 5-6+ years in Product Management, with 3+ years hands-on software development experience Job Type: Full Time About Procol Procurement processes at over 80% of companies still rely on emails, Excel, and phone calls causing inefficiencies, delays, and cost leakages of up to 20%. Procol transforms procurement by automating manual workflows, improving efficiency by ~50%, doubling speed, and delivering 2-10% cost savings. Founded in 2018, Procol s secure platform is trusted by $1B+ global companies, managing over $5Bn in procurement spend. Rated 4.9/5 on G2 and featured by Forbes, our team comprises ex-Google NY, Zomato, and OYO professionals. We are backed by investors including Blume Ventures, Peak XV Surge, Beenext, and Rainmatter. Role Overview As Director Product, you will drive the vision to simplify business for millions by building and scaling core procurement products and experiences. You will lead a team of product managers and collaborate with engineering, design, data science, and marketing to deliver impactful solutions. What You ll Do Define Product Strategy: Develop long-term vision and quarterly roadmaps aligned with company goals. Conceptualize Solutions: Use a problem-first, data-driven approach to identify and prioritize product ideas, balancing platform and long-term considerations. Lead Product Builds: Partner with engineering and design to deliver customer-loved products on schedule, creating detailed specs and managing product scope. Launch & Advocate: Plan go-to-market strategies alongside Product Marketing and serve as the internal and external product champion. Manage Stakeholders: Collaborate closely with senior leadership and cross-functional teams to align strategy with execution. What You ll Bring Strong customer-first and business-first mindset with solid technical understanding. Self-driven and proactive, able to thrive in a fast-paced, competitive startup environment. Analytical, data-informed approach with curiosity about metrics and macro trends. Exceptional problem-solving skills and keen attention to detail. Strong product sense with experience building products from 0 to 1. Minimum 5-6 years in Product Management and 3+ years in software development. Why You ll Love Procol Monthly advance salaries and comprehensive health insurance for employees and families. Free breakfast and snacks in the office. Subscriptions to wellness platforms like PharmEasy, Clove, HealthifyMe, Lenskart, and more. Discounts on fitness, healthcare, and lifestyle services. Fast-paced growth with impact across thousands of businesses. Close collaboration with an experienced founding team dedicated to building a great company.

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: Program & Strategy Manager CEO s Office Location: Gurugram, Haryana, India (Onsite, Full-Time) Experience: 3+ Years | Department: CEO s Office / Strategic Initiatives About Spyne At Spyne, we are redefining how cars are marketed and sold using cutting-edge Generative AI. What began as a bold idea to automate car visuals has evolved into a full-scale, AI-powered automotive retail ecosystem. We are backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors. In the last 15 months alone, we've expanded into the US and EU, launched industry-first AI image and 360 solutions, and achieved a 5x revenue surge with even greater growth ahead. Now, we re building a complete AI Retail Suite and scaling our footprint to 150K+ dealerships globally. Role Overview As a Program & Strategy Manager, you will work directly with the CEO s Office to lead and drive the adoption of Agentic AI (autonomous, goal-driven AI systems) across the organization. This includes Product, Engineering, Sales, Marketing, HR, Finance, Customer Success, and more. You ll be responsible for managing high-impact programs that integrate AI-driven automation into our operations, while also supporting strategic initiatives that align with Spyne s rapid growth and vision. What You ll Do Agentic AI Transformation Lead company-wide adoption of Agentic AI systems across key business functions Drive automation using tools like GPT-based agents, RPA, no-code AI platforms, and AutoML Define metrics to track AI-driven efficiency and performance improvements Work closely with Data & Engineering teams to integrate AI into existing workflows Conduct internal workshops to upskill teams on AI tools and practices Strategic Program Management Develop and execute strategic initiatives aligned with overall business objectives Own cross-functional programs focused on revenue growth, operational efficiency, and customer acquisition Track key business KPIs and ensure timely execution of high-impact priorities Support leadership with executive presentations, investor updates, and business reviews Work directly with the CEO on mission-critical business priorities Stakeholder & Team Collaboration Serve as the liaison between the CEO s office and all functional leaders Manage relationships with key AI vendors and partners (OpenAI, Microsoft, etc.) Enable adoption of AI across departments through communication and change management Build internal tools and dashboards for strategic visibility and impact tracking Experience & Background 3+ years in Program Management, Product Strategy, Business Ops, or similar roles Proven track record in managing cross-functional, strategic initiatives Strong experience in analytics (Excel, SQL, BI tools like Tableau, Looker, or Power BI) Technical Acumen Basic familiarity with LLMs and AI tools (OpenAI, Hugging Face, Anthropic, etc.) Ability to collaborate with AI/ML engineering teams and understand core technical concepts Strong understanding of business process automation and digital transformation Soft Skills Excellent communication and stakeholder management skills Strategic thinker with strong problem-solving abilities High ownership mindset and the ability to thrive in fast-paced, high-growth environments Why Join Spyne At Spyne, we re not just building AI products we re building the future of work. You ll be part of a driven, high-performance team in a company where speed, innovation, and ownership define our culture. What You ll Get: Opportunity to work directly with leadership on strategic initiatives Comprehensive health insurance (GMC, GPA, GTLI) Career growth with leadership exposure and equity options for top performers Office-first, high-energy environment that encourages real-time collaboration A young, driven team (average age: 25 26) working alongside seasoned professionals Our Values Customer Obsession: Every initiative is measured by the value it brings to customers Speed Over Perfection: Fast execution is key learn and iterate quickly Extreme Ownership: Own the outcomes, not just the process 10x Innovation: Think bigger and solve at scale A-Team Standards: We hire top talent and enable them to grow fast

Job Title: Product Designer II UI/UX Location: Gurugram, Haryana (Onsite, 5 days/week) Working Hours: 12 PM 9 PM IST Experience: 2 4 Years | Department: Product & Design Employment Type: Full-Time About Spyne At Spyne, we are transforming how cars are marketed and sold using the power of Generative AI. What began as a bold idea to automate automotive visuals has evolved into a full-stack AI-first automotive retail ecosystem. Backed by $16M in Series A funding from top investors like Vertex Ventures and Accel, we re rapidly expanding across US and EU markets with our industry-first AI products, including Studio AI and Retail AI. Over the past 15 months, we ve experienced 5X revenue growth, with ambitious plans to scale 3 4X more this year. Now, we re leading the next wave of GenAI innovation, building AI-powered tools for sourcing, pricing, 360 imaging, CRM, and Agentic AI for dealerships. About the Role: Product Designer (UI/UX) We re looking for a talented and passionate Product Designer II to join our dynamic Product & Design team. This role is perfect for someone who wants to blend design thinking with cutting-edge AI, AR, and VR technologies to create impactful, user-first experiences for our global automotive partners. You ll play a pivotal role in shaping intuitive digital products, owning the design process end-to-end, and influencing the future of automotive retail. What You ll Do Lead UI/UX Design: Design end-to-end user experiences with intuitive, accessible, and visually compelling interfaces. Build for Emerging Tech: Design for AI, AR, and VR integrations in products that push boundaries and redefine user engagement. Create & Iterate: Develop wireframes, user flows, high-fidelity prototypes, and final visual assets using tools like Figma. Collaborate Cross-Functionally: Work closely with Product Managers, Engineers, and Data Analysts to translate ideas into functional, user-centric solutions. Align Design with Business Goals: Ensure design strategy meets key product and user outcomes. Leverage Data for Design Decisions: Analyze user behavior, feedback, and market trends to iterate effectively. Contribute to Design Systems: Build, scale, and maintain reusable components and design guidelines. Stay Ahead of Trends: Continuously explore emerging tools, patterns, and technologies in design and AI. What You ll Bring Experience & Education Bachelor s degree in Design, Human-Computer Interaction, or a related field 2 4 years of hands-on UI/UX design experience, preferably in a B2B SaaS environment Technical Skills Proficiency in tools like Figma, Sketch, and Adobe Creative Suite Experience designing for AI or automation-driven products is a strong plus Knowledge of AR/VR design principles and ability to create user flows for immersive experiences Familiarity with component-based UI systems and responsive design Soft Skills Strong problem-solving and analytical mindset Excellent communication and collaboration skills across technical and non-technical teams Detail-oriented with a user-first approach to design Comfortable working in fast-paced, iterative, and agile teams At Spyne, we go beyond just offering a job we offer a chance to create real impact in a high-growth AI startup. What You ll Love: Performance-Driven Growth: High-impact role with rapid career progression Health & Life Insurance: Comprehensive GMC, GPA, and GTLI coverage Learning & Development: Access to LinkedIn Learning, mentorship, and AI-driven projects Office-First Culture: Collaborate, learn, and build alongside a high-energy team Diverse & Inclusive Environment: One of the best male-female ratios in AI tech Be Part of the Future of Automotive AI If you re passionate about designing next-gen digital experiences and want to be part of a fast-moving, innovation-driven team, we d love to hear from you. Apply now and help shape the visual future of automotive retail. Qualification : Bachelors degree in Design, Human-Computer Interaction, 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.

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.

About KPMG in India KPMG in India is a leading professional services firm, a member of KPMG International Limited. Established in August 1993, KPMG India is known for delivering high-quality services, supported by our global network and in-depth knowledge of local regulations, markets, and competition. With offices across key cities such as Ahmedabad, Bengaluru, Chennai, Gurugram, Hyderabad, Mumbai, Noida, and more, we provide comprehensive services to national and international clients across diverse sectors. We focus on offering industry-specific, technology-driven solutions that are rapid, performance-oriented, and rooted in our deep understanding of both global and Indian business landscapes. About Lighthouse Lighthouse, KPMG's Big Data, AI & Analytics practice, specializes in providing advanced solutions in Data Engineering, Data Science, Data Visualization, and Process Analytics. With a strong industry focus, we drive innovation and deliver transformative results for our clients. Role Overview We are seeking a skilled professional to join our team, where you will play a key role in designing, developing, and implementing enterprise-level applications using Snowflake. The role will involve working with cutting-edge data technologies to ensure the efficient flow, processing, and visualization of data. Key Responsibilities Design and Develop Snowflake Solutions: Build and deploy enterprise-scale applications leveraging Snowflake, optimizing for both performance and scalability. Create and Manage Data Pipelines: Use DBT to develop, test, and deploy data pipelines ensuring seamless data flow and processing. SQL Query Optimization: Develop and fine-tune SQL queries to enhance performance and scalability of applications. Security & Access Management: Implement identity and access management features and create robust authorization frameworks to ensure secure access controls. Troubleshoot Performance Issues: Address and resolve performance and scalability challenges within the Snowflake environment. Collaborative Solutions Development: Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver data-driven solutions. Maintenance & Improvement: Maintain and optimize existing Snowflake infrastructure and processes to ensure continued efficiency. Stay Updated: Continuously improve skills and knowledge by staying abreast of new Snowflake features and industry best practices. Qualifications Educational Requirements: BE/B.Tech/ME/M.Tech/MCA or any relevant degree. Equal Opportunity Employment (EOE) KPMG India is committed to providing equal employment opportunities to all applicants and employees, regardless of color, caste, religion, gender, age, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. We embrace diversity and encourage you to voluntarily submit demographic details to help us in our diversity initiatives. Please note that submitting this information is entirely voluntary and will not affect your application in any way. Qualification : BE/B.Tech/ME/M.Tech/MCA or any relevant degree.

About KPMG in India KPMG in India is a professional services firm, affiliated with KPMG International Limited. Established in August 1993, KPMG India leverages its global network of firms while being deeply knowledgeable about local laws, regulations, markets, and competition. We have offices across India in cities including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Our services cater to both national and international clients across various sectors. We are committed to providing rapid, performance-oriented, industry-focused, and technology-enabled services that combine a deep understanding of both global and local industries, along with our extensive experience in the Indian business environment. Role: Snowflake + AWS Expertise Job Description: This role involves working with Snowflake and AWS platforms, focusing on providing scalable, high-performance solutions. The ideal candidate will help deliver industry-leading data solutions by leveraging these powerful platforms. Equal Employment Opportunity (EEO) Information KPMG India is an equal opportunity employer, committed to providing opportunities to all applicants and employees, regardless of color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or any other legally protected status. We value diversity and encourage you to voluntarily submit demographic information to help us with our diversity efforts. Please note that providing this information is optional and will not affect your application in any way. Qualifications: Educational Requirements: B.E. or equivalent degree. Qualification : B.E. or equivalent degree.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

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.

BlackRock - Microsoft Dynamics Engineer About the Team The Dynamics Solution Center team s mission is to create best-in-class experiences for our business users by providing a reliable and effective service in developing and supporting the use of the MS Dynamics platform. Role Overview We are looking for a Microsoft Dynamics Engineer to design, develop, and customize Microsoft Dynamics 365 for BlackRock s Sales and Service teams, and their partner teams. Primary Responsibilities Customization and Configuration: Assist in customizing and configuring Microsoft Dynamics 365 modules to meet business requirements. Help develop and maintain custom entities, workflows, and business rules. Support the creation and modification of forms, views, and dashboards. Integration and Data Migration: Assist in integrating Microsoft Dynamics 365 with other systems (e.g., SharePoint, Power BI, Azure). Collaborate with Aladdin Engineering on integrations. Support data migration from legacy systems to Dynamics 365. Development and Extensions: Assist in developing extensions using Power Platform (PowerApps, Power Automate, Power BI). May need to write custom code (JavaScript, C#, .NET) to enhance functionality. Collaborate with senior developers on complex projects. Support and Troubleshooting: Provide technical support to end-users and help resolve issues related to Dynamics 365. Assist in debugging and troubleshooting system errors and performance bottlenecks. Collaboration and Documentation: Work closely with business analysts, project managers, and stakeholders to gather requirements. Help document technical specifications, solution designs, and code changes. Essential Skills / Experience Minimum of 2+ years experience in a technical role and 1+ years experience with Dynamics 365 and/or Power Platform engineering. Basic technical skills covering Power Automate & Power Apps. Experience in customization and configuration is a plus. Familiarity with building and deploying solutions in Microsoft Dynamics and the Power Platform. Basic understanding of D365 Sales and Customer Services applications. Understanding or experience in writing code in JavaScript, C#, or .NET is a benefit. Good written and verbal communication skills and the ability to gain buy-in from a non-technical audience at varying degrees of seniority. Positive attitude and resilience, with strong problem-solving skills. Ability to work effectively with cross-functional teams. 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, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our Hybrid Work Model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.

Job Description: Director of Engineering About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build and run applications anywhere on-premises or across multiple cloud providers. With a global presence and over 175,000 new developers signing up to use MongoDB every month, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview MongoDB is seeking a visionary and strategic Director of Engineering to establish and scale a new engineering organization in our Gurugram office. This role will focus on building a high-performing team dedicated to developing software that enables MongoDB to run seamlessly on any infrastructure at a global scale. Our software and services empower users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes. The primary objective is to enhance and expand our software for managing MongoDB clusters deployed in data centers or private cloud platforms. You will primarily work on Ops Manager and Cloud Manager products, serving enterprise users who deploy large-scale clusters and process massive amounts of data. Operating at the intersection of cutting-edge cloud technologies, distributed systems, and enterprise solutions, you will drive innovation and engineering excellence while delivering high-quality, secure software. This role is based in Gurugram as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: Expert knowledge of enterprise-grade software solutions, with a deep understanding of challenges and best practices in managing complex systems in hybrid cloud and on-prem environments. 10+ years of experience leading software engineering teams, including managing multiple layers of leadership and building teams across distributed locations. Proven track record of defining and executing strategic product visions, mobilizing teams for impactful outcomes, and demonstrating strong ownership and accountability. Experience in building, evolving, and scaling enterprise or B2B software products, particularly in infrastructure management, distributed systems, or database operations, with a focus on performance, security, and reliability. Strong cloud-native expertise, including proficiency with Kubernetes, container orchestration, and modern DevOps practices, to design and deliver scalable and secure solutions. Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences, including global stakeholders and non-technical decision-makers. Commitment to fostering an inclusive and collaborative team environment, mentoring future leaders, and driving organizational growth and success. Proven ability to influence across the organization and collaborate with cross-functional teams to align engineering efforts with business priorities. Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into actionable product improvements. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter. Join us at MongoDB and be part of a team driving innovation in the data space!

Position: Product Owner - Core Analytics Solutions (CAS) Job Overview: At BlackRock, technology and innovation are central to our mission of delivering world-class financial solutions. As part of Aladdin Financial Engineering (AFE), the Core Analytics Solutions (CAS) team is responsible for delivering analytical capabilities that drive better portfolio decisions. CAS works closely with investment teams and clients, transforming data into actionable insights and delivering solutions across asset classes and client segments. About Aladdin Financial Engineering (AFE): Join over 400 modelers and technologists in AFE within BlackRock Solutions. AFE is responsible for the research, development, and analytics production of Aladdin s financial models. These models span a wide range of financial products and provide insights to portfolio and risk management professionals. About Core Analytics Solutions (CAS): The CAS team within AFE creates and delivers Aladdin s analytical capabilities, ensuring clients can make informed portfolio decisions and achieve their financial goals. Our team is known for problem-solving, innovation, and delivering scalable solutions using Aladdin s global investment platform. Role Description: As a Product Owner with CAS, you will focus on portfolio risk methodologies like VaR and Stress Testing. You will work with modelers and collaborate with product managers, engineers, and data teams to deliver next-generation risk models. This role requires a blend of subject matter expertise, analytical skills, and leadership in driving product initiatives using agile frameworks. Responsibilities: Deliver next-generation risk models for portfolio risk methodologies such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and factor risk models. Drive agile framework implementation to ensure predictability and transparency across initiatives. Work closely with stakeholders to define and articulate product requirements, ensuring alignment with business needs. Perform independent analytical validations and present results to stakeholders. Influence the analytics roadmap by understanding rapidly evolving markets and stakeholder needs. Automate processes to increase efficiency and throughput. Present models to clients, address concerns, and build trust in BlackRock s solutions. Collaborate with technology and analytics teams to build scalable, customized solutions using Aladdin APIs. Define processes for quality control and ensure the robustness and reliability of Aladdin s analytics models. Develop and maintain documentation for analytical models and processes. Mentor junior analysts and help them build expertise in the field. Experience/Qualifications/Skills: 3-6 years of experience in developing, deploying, or using financial risk models. Deep understanding of financial models and risk methodologies, including factor models. Experience with APAC markets is a plus. Proven track record of leading cross-functional initiatives as an agile product owner. Experience in finance, econometrics, statistical analysis, or advanced mathematics. Experience with technical tools like Linux, SQL, and scripting platforms. Programming skills (Python, advanced Excel) are a plus. Knowledge of financial risk management certifications (CFA, FRM) is a plus. Excellent quantitative, analytical, communication, and presentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders. 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 fosters 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. 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. We invest in our employees to create a supportive environment where they can thrive professionally and personally. We offer benefits and development opportunities to support our employees' growth. Qualification : Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Advanced degree preferred. Bachelors degree required.

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