AI ML Implementation Engineer

AI/ML Implementation Engineer – 5 Years Experience
Parameter Details
Job Title Senior AI/ML Implementation Engineer
Experience 5 Years
Role Level Senior
Role Objective

Lead the architecture, implementation and production deployment of enterprise AI/ML and GenAI solutions, ensuring scalability, reliability, security and business alignment.

Key Responsibilities
Lead end-to-end implementation of AI/ML and GenAI solutions.
Translate business requirements into AI/ML architectures.
Design production-grade ML pipelines.
Design and implement RAG architectures.
Implement enterprise LLM solutions and AI agents.
Evaluate and select appropriate models and frameworks.
Optimize inference performance, cost and latency.
Implement MLOps/LLMOps practices.
Establish model evaluation and monitoring frameworks.
Integrate AI solutions with enterprise applications, APIs and databases.
Implement AI security and responsible AI controls.
Conduct PoC-to-production transformation.
Lead technical discussions with customers.
Mentor junior AI/ML engineers.
Prepare architecture documents, implementation plans and technical proposals.
Core Skills
Python
PyTorch / TensorFlow
LLMs
RAG
Vector databases
AI Agents
MLOps / LLMOps
Docker/Kubernetes
AWS/Azure/GCP
API integration
CI/CD
Model evaluation
AI security
Enterprise architecture