Machine Learning Engineer Expert
Bangalore, IN, 560066
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply SRE practices for monitoring alerting and incident response
- Architect and implement RAG pipelines
- Build and deploy solutions on SAP BTP
- Build embedding and knowledge retrieval pipelines
- Build evaluation and benchmarking frameworks
- Build intelligent assistants and AI copilots
- Conduct code reviews and mentor engineers
- Contribute to fine tuning alignment and model optimization
- Design and build LLM-powered applications
- Develop multi agent and agentic workflows
- Develop production grade APIs and orchestration layers
- Establish LLMOps deployment monitoring and governance
- Implement prompt orchestration and tool calling
- Instrument OpenTelemetry tracing and build logging dashboards
- Integrate AI features into SAP CAP and Fiori applications
- Integrate vector databases and semantic search
- Optimize latency, throughput, and cost-efficiency
- Optimize prompts inference pipelines and evaluation
- Support PoCs innovation and reusable AI solution assets
Perks/Benefits
Skills/Tech-stack
AI Core | AI Governance | AI Security | Alerting | Asynchronous programming | CAP | CI/CD | Cause analysis | ChromaDB | Cloud logging | Data Pipelines | Databricks | Distributed Systems | Docker | Embedding | Event Driven | Event-driven APIs | Faiss | Fine Tuning | Fiori | Git | Guardrails | HANA Cloud | Hugging Face | Integration Testing | Java | Kubernetes | LLMOps | Langchain | Llamaindex | Microservices | Model Evaluation | Monitoring | OpenAI APIs | OpenTelemetry | Pinecone | Prompt engineering | Prompt orchestration) | PyTorch | Python | RAG | REST APIs | Responsible AI | Responsible AI governance | Root Cause Analysis | Root cause | SAP AI | SAP AI Core | SAP BTP | SQL | SRE | Scikit-learn | Semantic Kernel | Semantic Search | Spark | TensorFlow | Unit Testing | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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