Generative AI Engineer

Job Location: Noida | Bangalore | Kolkata

Your Role and Responsibilities

• Develop, implement, and optimize

  GenAI solutions

  , including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, prompt engineering frameworks, and conversational AI workflows.
• Build and deploy

  machine learning and deep learning models

  across structured, semi-structured, and unstructured data scenarios, including text, images, documents, and time-series datasets.
• Apply advanced ML methodologies such as

  clustering, classification, regression, boosting algorithms, recommendation systems, optimization techniques

  , and

  NLP-based modeling

  (BERT, GPT, transformer architectures).
• Design and implement

  GenAI pipelines

  , including data ingestion, embeddings creation, vector database integration, model fine-tuning, evaluation, and continuous monitoring.
• Leverage cloud platforms (Azure, AWS, GCP) and services such as

  Azure/AWS Machine Learning Studio, Databricks, AWS Sagemaker

  , and other relevant cloud ML/AI ecosystems to build scalable ML and GenAI solutions.
• Develop and maintain

  MLOps & AIOps pipelines

  for automated training, testing, deployment, CI/CD integration, and model lifecycle management.
• Integrate ML/GenAI models with existing enterprise applications, APIs, microservices, and backend systems to deliver seamless, production-ready solutions.
• Monitor and evaluate model accuracy, drift, performance metrics, hallucinations, and system reliability; create detailed reports and communicate insights to stakeholders.
• Work with big-data and distributed processing technologies such as

  SQL, Spark, PySpark, Hadoop

  , and cloud data engineering tools for data preparation and feature engineering.
• Create compelling data and AI-driven insights using visualization tools such as

  Power BI, Tableau, matplotlib

  , and other relevant libraries.
• Collaborate closely with functional, domain, and engineering teams to understand business challenges and map them to the right ML/GenAI approaches.
• Communicate complex technical concepts effectively, tailoring explanations to technical and non-technical audiences with clear documentation and presentations.

Required Technical and Professional Expertise

• Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA
• 3+ years of Data science experience
• Strong expertise and deep understanding of machine learning.
• Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus
• Exposure to Industry specific (CPG, Manufacturing) use cases is required
• Strong client-facing skills
• Must be organized and detail oriented.
• Excellent communication and interpersonal skills

Preferred Technical and Professional Experience

• Strong foundation in Agentic AI, Lang Chain, LLM.
• Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.).
• Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques.
• Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment.

Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

About Polestar:

As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data.

We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades.

The list includes: -

• Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM.
• Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023.
• Featured on the Economic Times India's Growth Champions in FY2023.
• Polestar Solutions Selected as a 2022 Red Herring Global Companies.
• Top Data Science Providers in India 2023: Penetration and Maturity (PeMa) Quadrant.
• India’s most promising data science companies in 2022 by Analytics Insight.
• Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021.
• Recognized as Anaplan's India RSI Partner of the Year FY21.
• Elite Qlik Partner and a member of the ‘Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar.

We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.