Polestar Solutions - Generative AI Engineer - LLM Models

Description :

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:
- 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 :