Generative AI Engineer

Job Location : Noida | Bangalore | Kolkata

Job Description

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

Preferred Technical and Professional Experience

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.

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