AI Engineer
DGS India - Pune - Kharadi EON Free Zone
INR 1500K-2800K (estimate) Mid-level Full Time
Tasks
- Build multimodal and agentic AI applications using LLMs and frameworks
- Build scalable model APIs and microservices
- Build transformer based and multimodal models using deep learning frameworks
- Collaborate cross functionally to translate business needs into AI solutions
- Deploy and monitor ML AI systems on cloud optimizing cost latency and reliability
- Design AI workflows with reasoning planning tool use memory and grounding
- Develop data preparation feature engineering and ML pipelines
- Develop hybrid dense sparse information retrieval systems and relevance optimization
- Develop knowledge graph assisted AI systems for entity extraction linking and KG augmented retrieval
- Document models experiments evaluation frameworks and deployment processes
- Fine tune align and evaluate LLMs using RLHF RLAIF and parameter efficient methods
- Implement CI CD pipelines for model versioning monitoring and evaluation
- Implement safety consistency and hallucination control using evaluation and guardrails
- Mentor junior engineers and contribute to best practices
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agents | Apache Spark | Autogen | Azure | CI/CD | Deep learning | Dense retrieval | Django | Docker | ETL | Embeddings | FastAPI | Fine Tuning | Flask | GCP | Hadoop | Information Retrieval | Knowledge graphs | Langchain | Langgraph | Language Models | Large Language Models | Linear Algebra | Llamaindex | LoRA | MLOps | Microservices | Model Evaluation | MongoDB | Multimodal | Probability | Prompt engineering | Pruning | PyTorch | Python | QLoRA | RLAIF | RLHF | Retrieval-Augmented Generation | SQL | Sparse Retrieval | Statistics | TensorFlow | Transformers | Vector Search
Education
N/A
Roles
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