Experience
4 - 7 yrs
Job Location
Mumbai, India
Vacancy
1
Designation
Senior Artificial Intelligence Engineer
Job Type
Not specified
Job Description
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. Strong 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.
No Referrers Available
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