AI ML Architect
IN-UP-Noida-Candor TechSpace Tower 1, India
INR 2500K-3500K (estimate) Senior-level Full Time
Tasks
- Architect ML platforms
- Build Spring AI tools and agents
- Build ingestion pipelines
- Build production APIs
- Build search and chat applications
- Design and develop LLM-powered features
- Design machine learning models
- Develop and deploy AI applications
- Develop feature engineering
- Ensure secure model deployment
- Evaluate machine learning models
- Experiment to improve model performance
- Fine-tune and deploy LLMs
- Implement MCP tools
- Implement RAG
- Implement agentic AI
- Implement guardrails
- Use prompt engineering best practices
- Validate input data
- Work with CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Agentic AI | CI/CD | Convolutional Neural Network | Data Transformation | Data cleaning | Deep learning | Feature Engineering | GitHub Actions | GitLab | Java | JavaScript | Jenkins | Keras | LLM | Machine Learning | Model Evaluation | Neural Network | Prompt engineering | PySpark | PyTorch | Python | RAG | Recurrent Neural Network | Reinforcement Learning | SageMaker | Scala | Spark | Spring Boot | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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