Ai ML Engineer
Posted Updated
Description
Roles and Responsibilities :
- Design, develop, test, and deploy AI/ML models using Python and PyTorch to solve complex business problems.
- Collaborate with cross-functional teams to identify requirements and implement data-driven solutions.
- Develop high-quality code that meets industry standards for scalability, performance, and maintainability.
- Troubleshoot issues related to model training, deployment, and monitoring.
Mandatory Skills
Python,Machine Learning,Scikit-learn,Regression & Classification,Forecasting,Generative AI & LLMs,Agentic AI & AI Agents,MCP Servers & Tool Development,RAG & AI Workflow Orchestration,AWS SageMaker & Bedrock,MLOps & ML Pipelines,Docker & Containerization
Skill to Evaluate
Python,Machine Learning,Scikit-learn,Regression & Classification,Forecasting,Generative AI & LLMs,Agentic AI & AI Agents,MCP Servers & Tool Development,RAG & AI Workflow Orchestration,AWS SageMaker & Bedrock,MLOps & ML Pipelines,Docker & Containerization
Job Requirements :
- 4-8 years of experience in AI/ML engineering or a related field.
- Strong proficiency in Python programming language with expertise in AI algorithms such as supervised/unsupervised learning techniques.
- Experience with deep learning frameworks like PyTorch or TensorFlow is required.