Assitant Manager - AI Engineer
INR 2500K-3000K (estimate) Mid-level Full Time
Tasks
- Architect and deploy AI solutions on Azure or AWS or GCP
- Build agentic workflows for LLM tool use and memory
- Build machine learning and GenAI workflows using MLOps
- Build scalable APIs for ML and GenAI integrations
- Collaborate with stakeholders to define AI strategy and roadmaps
- Deploy AI workloads using microservices serverless and containers
- Design machine learning models
- Develop production GenAI applications with LangChain
- Develop production GenAI applications with LangGraph
- Develop retrieval-augmented generation systems
- Ensure security scalability compliance and monitoring for AI deployments
- Evaluate model accuracy reliability and fairness
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agentic Workflows | Amazon SageMaker | Azure | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | Cloud Security | Cloud platform | Clustering | Data Pipelines | Docker | Embeddings | FastAPI | Generative AI | Google Cloud | Google Cloud Platform | Hypothesis Testing | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Evaluation | Monitoring | NumPy | OpenAI Service | Pandas | Python | R | Regression | Retrieval-Augmented Generation | Series analysis | Serverless | Statistical Analysis | TensorFlow | Time Series | Time Series Analysis | Tool use | Vector Databases | Vertex AI
Education
Roles
AI | AI Engineer | Engineer
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