Machine Learning Engineer
Bangalore offsite, India
R
INR 3200K-5000K (estimate) Mid-level Full Time
Tasks
- Analyze model performance with statistical methods
- Collaborate with engineers to apply Large Language Models to business challenges
- Containerize models and orchestrate with Kubernetes
- Continuously retrain models to mitigate drift
- Design and develop robust scalable AI solutions and agents
- Design regression classification forecasting and clustering models
- Develop APIs to serve predictions and agent responses
- Enable tool use and function calling for agents
- Engineer observability with deep tracing and logging
- Establish CI CD procedures for the machine learning platform
- Implement RAG and fine tuning for Large Language Models
- Implement agent orchestration and manage state and memory
- Monitor and mitigate GenAI risks
- Optimize model performance with quantization and caching
- Perform feature engineering and feature selection
- Prepare data train models deploy and monitor
Perks/Benefits
Skills/Tech-stack
API Development | Autogen | CI/CD | Caching | Classification | Clustering | Data Analysis | Docker | FastAPI | Feature Engineering | Feature Selection | Fine Tuning | Flask | Forecasting | Function Calling | Kubernetes | Langgraph | Language Models | Large Language Models | Logging | Machine Learning | NumPy | Observability | Pandas | Python | Quantization | RAG | Regression | Retrieval-Augmented Generation | Scikit-learn | Statistical Analysis | Tool use | Tracing
Education
N/A
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