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Data Engineer

Quality Assurance Analyst

About DataWeave : DataWeave provides Digital Shelf Analytics and Dynamic Pricing solutions to leading digital commerce businesses, enabling them to grow revenues and compete profitably. Powered by AI, our platform aggregates and analyzes billions of publicly available data points from the web to deliver actionable intelligence. We help enterprises develop data-driven strategies and make smarter, faster decisions. About the Role : We are looking for a Technical Product Manager to join our Products team at DataWeave. You'll play a key role in building and scaling our data-driven products that deliver timely, actionable insights to customers across industries. Our guiding principles are scale, impact, engagement, and visibility - and we're looking for someone who thrives on these values. You'll drive multiple product modules end-to-end - from vision to execution - collaborating closely with cross-functional teams to deliver business impact through great product design and data intelligence. Responsibilities : - Own and drive multiple product modules such as Digital Shelf Analytics, Pricing Intelligence, Content Optimization, SKU Management, and internal tools. - Define and execute clear product vision, strategy, and roadmap in collaboration with leadership. - Conduct market and customer research to define requirements for new and existing products. - Partner with Engineering, Data Science, and UX/UI teams to ensure technical feasibility and user-centric design. - Manage the full product lifecycle - prioritization, release cycles, quality, and customer engagement. - Collaborate with Sales and Customer Success to align product goals with business objectives and go-to-market strategy. - Define success metrics, analyze product performance, and drive continuous improvement. - Stay on top of emerging AI/ML trends, technologies, and tools to inform roadmap decisions. - Advocate for responsible AI practices, data quality, and observability across product pipelines. You Have : - 3- 5 years of Product Management experience, preferably in a SaaS or data/AI-driven product environment. - Strong technical understanding of software, APIs, data systems, and AI/ML product concepts. - Experience collaborating with engineers and data scientists on technical trade-offs and performance optimization. - Excellent problem-solving, communication, and stakeholder management skills. - A customer-first mindset with the ability to translate complex data into business impact. - Passion for building scalable data products that solve real-world problems.

Bangalore

DataWeave - Technical Product Manager - Strategy & Roadmap 

Description : About Us : DataWeave is a SaaS-based digital commerce analytics platform that empowers retailers with competitive intelligence and enables consumer brands to optimize their digital shelf performance at a global scale. Powered by proprietary AI technology, DataWeave processes over 500+ billion data points across 400,000+ brands, 4,000+ websites, and more than 20 industry verticals. Our customers include leading global retailers and brands such as Nordstrom, Overstock, The Home Depot, Mars, Bush Brothers, Mondelez, and Pernod Ricard. We are a globally distributed team of 220+ engineers, product managers, and eCommerce experts with our technology hub based in Bangalore. Role Overview : We are seeking a Tech Lead / Associate Architect Data Engineering to drive the design and implementation of scalable data platforms, ETL pipelines, and distributed data processing systems. The role involves close collaboration with product, data science, and analytics teams to build reliable data foundations that power business insights at scale. Key Responsibilities : - Design, build, and own end-to-end ETL pipelines for large-scale data ingestion, transformation, and processing - Architect scalable workflows integrating structured and unstructured data sources - Optimize ETL frameworks for performance, scalability, and cost efficiency - Lead integrations with Snowflake, Databricks, or similar analytical data platforms - Manage cloud-native deployments using Kubernetes and CI/CD pipelines - Ensure data quality, governance, monitoring, and reliability across data pipelines - Collaborate with product, data science, and analytics teams to translate requirements into engineering solutions - Mentor and guide engineers on data engineering best practices, code quality, and architecture Required Qualifications : - 610 years of experience in data engineering or related roles - Bachelors or Masters degree in Computer Science, Information Systems, or equivalent experience - Strong expertise in Python with experience building production-grade systems - Hands-on experience with distributed data frameworks such as PySpark and Airflow - Solid experience with AWS services including S3, Athena, Lambda, and Step Functions - Strong experience with data warehousing platforms such as Snowflake or Databricks - Working knowledge of Kubernetes, Helm, and containerized deployments - Exposure to NoSQL databases such as MongoDB, DynamoDB, or Cassandra - Experience in query optimization, data partitioning, and large-scale data performance tuning - Familiarity with Git, CI/CD pipelines, and Infrastructure-as-Code tools such as Terraform or CloudFormation Preferred Qualifications : - Experience building data platforms for analytics, reporting, or AI/ML workloads - Understanding of modern data lakehouse architectures - Exposure to data modeling and ELT design principles - Strong communication skills and ability to work with cross-functional stakeholders

DataWeave - Associate Architect - Data Modeling 

Description : About Us. DataWeave is a SaaS-based digital commerce analytics platform that empowers retailers with competitive intelligence and equips consumer brands with digital shelf analytics globally. Using proprietary AI technology, DataWeave analyzes over 500+ billion data points across 400,000+ brands, 4,000+ websites, and 20+ industry verticals. Our clients include Nordstrom, Overstock, The Home Depot, Mars, Bush Brothers, Mondelez, Pernod Ricard, and more. We are a globally distributed team of 220+ engineers, product managers, and eCommerce experts with technology offices in Bangalore. What We Offer. - Opportunities to work on cutting-edge AI research in NLP, Computer Vision, and Large Language Models (LLMs). - Immediate impact on product and business decisions in the retail/eCommerce domain. - End-to-end ownership of projects from ideation to deployment. - Culture of openness, collaboration, and mentorship. - Flexible work environment and continuous learning opportunities. - Competitive rewards and fast-paced career growth. Role Overview. The Lead / Sr Data Scientist will drive AI innovation and solve complex business problems in the retail domain. The role involves developing production-ready ML/DL models, leading research initiatives, mentoring junior team members, and ensuring AI solutions align with product strategy. Responsibilities: - Build robust ML models using state-of-the-art architectures for NLP, Computer Vision, and Deep Learning. - Solve complex retail problems such as product matching, attribute extraction, and price optimization. - Optimize models for scalability, efficiency, and deployment with MLOps best practices. - Take end-to-end ownership of AI projects, from research to production. - Mentor and guide junior team members, fostering a culture of innovation and collaboration. - Collaborate with cross-functional teams to translate business problems into AI solutions. Required Qualifications : - Bachelors degree in Computer Science, Data Science, Mathematics, or a related field. - 6+ years of hands-on experience in AI/ML development (3+ years acceptable with exceptional expertise in GenAI/LLMs). - Expert-level Python proficiency with experience in PyTorch or TensorFlow. - Strong experience in Generative AI, LLMs, vision-language models, and multimodal systems. - Hands-on experience with NLP and CV libraries: SpaCy, NLTK, HuggingFace Transformers, OpenCV. - Experience in model training, fine-tuning, quantization, evaluation, and deployment of transformer-based models (BERT, GPT, T5, LLaMA, etc. - Familiarity with model optimization and scalability techniques (quantization, distillation, pruning, ONNX, TensorRT-LLM, DeepSpeed, etc. - Strong understanding of LLM ecosystems including OpenAI, Anthropic, Meta, Google, Mistral, AWS Bedrock. - Proven ability to lead projects and mentor teams in a high-velocity product environment. Preferred / Good to Have : - Masters or PhD in Computer Science, AI/ML, Applied Math, or related fields. - Experience in startups or high-growth environments with ownership mindset. - Building full MLOps pipelines (MLFlow, Kubeflow, Airflow, SageMaker, Vertex AI). - LLM fine-tuning and parameter-efficient training (PEFT: LoRA, QLoRA, DoRA, Adapters, etc. - Experience with LangChain, LangGraph, LlamaIndex, and multi-agent workflows. - Building Retrieval-Augmented Generation (RAG) pipelines using vector DBs like Pinecone, Chroma, Qdrant, Weaviate, or FAISS. - Practical experience in evaluating LLM applications using Ragas, DeepEval, Promptfoo, or custom frameworks. - Knowledge of modern research in Transformer optimizations, self-supervised learning, agentic AI, and efficient training frameworks. - Contributions to open-source ML/AI projects, publications, or active participation in research communities.

DataWeave - Lead/Senior Data Scientist - LLM Models 

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