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ML and LLM Architects - Applied AI Director at NTT DATA
Bengaluru, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, ML Libraries, PyTorch, Hugging Face, Transformers, LLM Fine-Tuning, LoRA, PEFT, RAG Techniques, LangChain, Vector DBs, Pinecone, FAISS, Docker, Kubernetes, Prompt Engineering

Industry

IT Services and IT Consulting

Description
Fine-tune open-source or proprietary LLMs for domain-specific tasks Build classification, scoring, summarization, and anomaly detection models Deploy models using MLOps pipelines (model versioning, drift detection, retraining) Integrate models into workflows with human-in-the-loop oversight Optimize model performance across cloud-native environments Strong Python + ML libraries (PyTorch, Hugging Face, Transformers) Experience with LLM fine-tuning (LoRA, PEFT, RAG techniques) Familiarity with LangChain, vector DBs (Pinecone, FAISS), or similar tools Experience in deploying models via Docker/Kubernetes or cloud ML services Strong grasp of prompt engineering and AI safety best practices
Responsibilities
The role involves fine-tuning open-source or proprietary LLMs for specific tasks and building various models such as classification and anomaly detection. Additionally, the position requires deploying models using MLOps pipelines and integrating them into workflows with human oversight.