Senior AI & Data Engineer
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Architect and deliver agentic AI systems
- Architect data transformations and ingestion methods
- Architect end to end AI solution architecture
- Build LLM evaluation frameworks
- Build and monitor ML pipelines
- Conduct architecture reviews and provide technical sign off
- Define AI metrics and KPIs for dashboards
- Define data contracts and interface specifications
- Define engineering standards and best practices
- Design and implement RAG architectures
- Design for scale, reliability, and cost
- Develop ML solutions for NLP and time series
- Ensure model explainability and fairness
- Fine-tune and align LLMs
- Implement MLOps pipelines
- Implement automated data quality validation
- Integrate LLMs using APIs
- Lead AI augmented RPA implementations
- Lead technical discovery for AI and data use cases
- Mentor and upskill junior engineers
- Serve as AI data subject matter expert
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | APIM | Async Programming | Autogen | Azure Functions | Azure ML | Azure OpenAI | Azure OpenAI Service | Collibra | CrewAI | DAX | DPO | Databricks | FastAPI | HuggingFace Transformers | LIME | Langchain | Langgraph | LightGBM | LoRA | Microsoft Fabric | OpenAI Service | PEFT | Power BI | Prompt engineering | PyTorch | Python | RAG | REST APIs | RLHF | SHAP | SQL | Scikit-learn | Semantic Kernel | Vector Databases | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Data Engineer | Engineer | Senior AI Engineer | Senior Data Engineer
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