Job Role: Senior Gen AI Engineer GenAI & Advanced ML

Location: Mumbai/Pune

Job Type: Full-time

Experience: 4 7 years

About the Role

We are looking for a Senior AI Engineer Generative AI with leadership experience and deep expertise in AI/ML and production-grade GenAI systems. This role requires a hands-on technical leader who has built, deployed, and scaled Generative AI solutions while leading teams and driving architectural decisions.

The ideal candidate will have a strong foundation in machine learning, deep learning, and statistical modeling, along with real-world experience in LLMs, RAG, fine-tuning, and AI agents. A background in forecasting or predictive modeling should complement broader AI/ML problem-solving. Solid hands-on experience with AWS (especially Bedrock and SageMaker) is mandatory.

If you enjoy owning GenAI strategy end-to-end and building scalable AI systems, this role is for you.

Key Responsibilities

Architect end-to-end GenAI systems including data pipelines, training, evaluation, deployment, and monitoring.

Drive initiatives across

LLM-based applications

Retrieval-Augmented Generation (RAG)

Prompt engineering & optimization

Fine-tuning & model adaptation

AI agents & orchestration workflows

Build and deploy GenAI solutions on AWS Bedrock and SageMaker .

Apply ML/DL techniques for forecasting, prediction,



and intelligent automation.

Lead and mentor AI engineers and data scientists.

Collaborate with product and business stakeholders to deliver scalable AI solutions.

Design and maintain ML/GenAI pipelines for experimentation and retraining.

Ensure responsible AI, scalability, and performance standards.

Qualifications & Skills

4 7 years of experience in AI/ML, Data Science, or AI Engineering

Strong foundation in Machine Learning, Deep Learning, and Statistical Modeling.

Generative AI (Hands-on):

LLMs and foundation models

Prompt engineering

RAG pipelines & vector databases

Fine-tuning & inference optimization

AI agents / orchestration

AWS (Mandatory):

Amazon Bedrock

Amazon SageMaker

Experience deploying AI/ML solutions on AWS

Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).

SQL and large-scale data processing experience.

Strong understanding of ML system design and model evaluation.

Excellent communication and stakeholder management skills.

Preferred Qualifications

MLOps practices (CI/CD, monitoring, versioning).

Experience with Spark / big data ecosystems.

Knowledge of vector databases (FAISS, Pinecone, Weaviate).

Exposure to AI governance and responsible AI frameworks.

📌 Senior Gen AI Engineer (Mumbai)
🏢 Go Digital Technology Consulting
📍 Mumbai