Data Scientist

InfoVision Inc.; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

InfoVision is seeking an Enterprise Data Scientist to design, build, and productionize analytics and GenAI solutions at scale in Pune, India. You will develop, deploy, and operate ML and GenAI models on large structured data, with governance and enterprise-grade MLOps practices.

The role emphasizes scalability, reliability, and close collaboration with business, product, and analytics teams to validate assumptions and deliver actionable insights.

Qualifications

• 4-8 years in Data Science / AI Engineering.
• 3+ years building and deploying ML models with feature engineering and evaluation.
• 2+ years in NLP or language-based systems.
• 1+ years delivering GenAI or conversational AI in production.

Responsibilities

• Translate complex business problems into data science solutions.
• Perform feature engineering and model evaluation on large-scale data.
• Deploy predictive, prescriptive, and descriptive models with interpretability.
• Collaborate with business and analytics teams to deliver insights.
• Apply GenAI techniques to augment data science workflows and RAG.

Skills

Python

SQL

Spark / PySpark

PyTorch

TensorFlow

LangChain / LangGraph

MLOps / LLMOps

Model evaluation

Data quality & governance

Education

Bachelor's or Master's in CS/Statistics/Math/Data Science/Engineering

Tools

FAISS

Pinecone

Weaviate

ChromaDB

AWS SageMaker

Azure ML

GCP Vertex AI

Job description

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
• 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.