Senior AI/ML Engineer
Bangalore, IN, India
INR 2156K-3307K (estimate) Senior-level Full Time
Tasks
- Access and prepare data in Snowflake
- Build data pipelines
- Build/train/validate models
- Conduct feasibility assessments
- Create chunking and vector databases
- Design AI agent management servers
- Design AI/ML solutions
- Develop NLP and Computer Vision solutions
- Develop and deploy models
- Document model and data characteristics
- Establish MLOps practices
- Follow governance and best practices
- Implement generative AI
- Integrate AI solutions with systems
- Participate in AI review councils
- Partner with stakeholders
- Perform feature engineering
- Present findings
- Share knowledge and stay updated
- Support compliance and standards
Perks/Benefits
- Career growth
- Community engagement
- Global opportunities
- Inclusive environment
- Innovative culture
- Performance accountability
Skills/Tech-stack
AI Application Development | AI application | AI frameworks | APIs | AWS SageMaker | Application development | Bedrock | CI/CD | Containerization | Cross-validation | Data Preprocessing | Data platform | Debugging | Deep learning | EC2 | FastAPI | Feature Engineering | Fine Tuning | Gradio | Hyperparameter Tuning | LLM | Lambda | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Deployment | Model Evaluation | Monitoring | NLP | Performance optimization | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | S3 | Scikit-learn | Software Engineering | Streamlit | TensorFlow | Testing | Versioning
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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