GEN AI

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, and MLOps to develop scalable and production-ready AI solutions.

Key Responsibilities:

Develop & Optimize AI/ML Solutions: Build and deploy LLMs, RAG, Agentic AI, and GenAI applications.

ML Pipeline Development: Implement and automate scalable ML pipelines using MLflow, AWS SageMaker, Databricks, and PySpark.

MLOps Implementation: Establish CI/CD workflows, model versioning, monitoring, and automated retraining.

Cloud & Infrastructure: Leverage AWS AI/ML services (Sagemaker, Bedrock, Lambda, Step Functions, ECS/EKS) for scalable AI solutions.

Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines, and distributed data processing.

LLMs & RAG Applications: Fine-tune and deploy LLMs integrated with vector databases (FAISS, Pinecone, ChromaDB).

NLP & Deep Learning: Work with transformers, embeddings, multi-modal AI models, and text processing frameworks.

Orchestration & Containerization: Deploy and manage AI workloads using Kubernetes (EKS), Docker, and CI/CD pipelines.Senior Data Engineer with special emphasis and experience of 10 to 12 years of IT and 6 to 8 years of experience on Artificial Intelligence, Deep learning and Machine Learning.

bachelor degree in computer science engineering or related field.

Able to Lead AI/ML team and working closely with all the team members and client.

Strong Hands on Experience on Python coding and all the python and Data science libraries.

Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy.

Understand company and client challenges and how integrating AI capabilities can help lead to solutions

As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.

Hands on experience on all AWS service.

Lead cross-functional teams in identifying and prioritizing key areas of a partner business where AI solutions can drive significant business benefit

Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards

Strong Hands-on experience on SQL queries, CICD Pipelines, Kubernetes etc.,