AI Engineer

Eligibility Criteria

Strong experience in Artificial Intelligence and Machine Learning platforms

Responsibilities

• Build and maintain scalable AI platforms for enterprise customers
• Design machine learning pipelines for model training and experimentation
• Implement model inference APIs and large-scale AI deployments
• Optimize LLM model performance and latency
• Develop fine-tuning strategies for AI models
• Collaborate with engineering and product teams on AI solutions
• Present AI strategies and technical designs to stakeholders

Skills

• Python
• Machine Learning
• Large Language Models (LLM)
• MLflow
• SageMaker
• Vertex AI
• Azure AI
• DeepSpeed
• vLLM
• Kubernetes
• Docker
• LangChain
• LangGraph
• Flowise
• GPU Computing
• Distributed Training

Education

• B.E
• B.Tech (Computer Science
• AI
• ML)
• M.Tech (AI
• Machine Learning
• Data Science)
• MCA