Data Scientist

DATA SCIENTIST

Location: Pune, India | Type: Full-Time | Experience: 4-8 Years

ROLE SUMMARY

Enterprise Data Scientist designing, building, and productionizing analytics and GenAI solutions at scale. Develop, deploy, and operate machine learning and applied GenAI models—including LLM-based insight generation, summarization, and decision augmentation—using large-scale structured and semi-structured data. Strong emphasis on scalability, reliability, governance, and enterprise-ready implementations.

KEY RESPONSIBILITIES

• Translate complex business problems into data science and machine learning solutions that drive measurable outcomes across enterprise use cases
• Perform advanced data exploration, feature engineering, model development, and evaluation on large-scale structured and semi-structured datasets
• Build and deploy predictive, prescriptive, and descriptive models ensuring interpretability, robustness, and alignment with business objectives
• Partner with business, product, and analytics teams to validate assumptions, define success metrics, and deliver actionable insights
• Apply GenAI techniques to augment data science workflows—LLM-based insight generation, summarization, classification, and decision support
• Design and implement Retrieval-Augmented Generation (RAG) solutions to ground LLM outputs in enterprise data and analytical results
• Collaborate on GenAI-enabled analytical applications (e.g., conversational analytics, insight assistants) with focus on accuracy, relevance, and explainability
• Productionize data science and GenAI models using enterprise-grade MLOps/LLMOps practices—versioning, deployment, monitoring, and retraining
• Build scalable, secure, reliable analytical pipelines in collaboration with Data Engineering and Cloud teams
• Monitor model performance, data drift, and GenAI output quality; drive continuous improvements based on real-world usage
• Define and track model and GenAI performance metrics (accuracy, stability, bias, latency, business impact)
• Run experiments and controlled rollouts to optimize models, GenAI prompts, and retrieval strategies
• Ensure solutions meet enterprise requirements for governance, security, compliance, and responsible AI

REQUIRED EXPERIENCE

• 4-8 years in Data Science / AI Engineering
• 3+ years building and deploying machine learning models (supervised, unsupervised, time-series), covering feature engineering, model evaluation, and performance optimization
• 2+ years working with NLP or language-based systems, including text classification, information extraction, and semantic modeling
• 1+ years delivering GenAI or conversational AI solutions in production, with focus on applied LLM use cases, RAG, and enterprise deployment

CORE TECHNICAL SKILLS

• Strong foundation in statistics, machine learning, and applied data science
• Advanced proficiency in Python with hands-on production experience
• SQL expertise for data querying, transformation, and analytical pipeline development
• Apache Spark / PySpark for distributed data processing at scale
• Databricks ecosystem (Databricks SQL, MLflow, Feature Store, Jobs)
• ML frameworks: PyTorch and/or TensorFlow for model development and experimentation
• LangChain and LangGraph for operationalizing LLM-based analytical workflows, RAG, and prompt design
• MLOps/LLMOps practices—model and prompt versioning, deployment, monitoring, retraining strategies
• Production-level experience tracking model quality, data drift, and GenAI output reliability
• Data quality, explainability, responsible AI, and enterprise governance fundamentals

PREFERRED QUALIFICATIONS

• Vector databases and embedding models (FAISS, Pinecone, Weaviate, ChromaDB) for RAG
• Cloud platforms expertise (AWS SageMaker, Azure ML, or GCP Vertex AI)
• Experience evaluating and benchmarking GenAI outputs using quantitative and qualitative metrics
• Exposure to model serving and inference optimization for production systems
• Knowledge of data governance frameworks and compliance requirements
• Bachelors or Masters in Computer Science, Statistics, Mathematics, Data Science, Engineering, or related field

ABOUT INFOVISION

InfoVision is a technology and talent solutions partner delivering enterprise-grade analytics, AI/ML, and digital transformation services. We enable organizations to harness data and artificial intelligence to drive measurable business impact through scalable, secure, and responsible AI solutions.