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 * Bachelor's or Master's 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. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.