Our Client Currently looking for Consultant/Senior Consultant – AI/ML

Description :

– Develop and optimize transformer-based NLP models, including LLM fine-tuning, evaluation, and prompt engineering.

– Build and deploy RAG pipelines by integrating LLMs with vector databases (FAISS, Pinecone, Chroma, Azure AI Search).

– Implement multi-agent orchestration frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) for advanced workflows.

– Apply LLM evaluation and guardrail frameworks (Guardrails AI, TruLens, RAIL) to ensure reliability and safety.

– Design and maintain end-to-end ML pipelines : ingestion, preprocessing, training, deployment, and monitoring.

– Apply MLOps/LLMOps best practices for automation, observability, and reliability in Azure ML or equivalent platforms.

– Work with knowledge graphs (Neo4j, RDF/OWL) and integrate them into GenAI workflows.

– Build scalable pipelines and workflows using Databricks integrated with cloud platforms.

– Write clean, production-grade code in Python, including microservices, REST APIs, and FastAPI.

– Collaborate cross-functionally with data, cloud, and product teams to solve business problems with AI.

What We’re Looking For :

– 3 to 8 years of experience in AI/ML engineering.

– Proficiency in deep learning frameworks (PyTorch, TensorFlow).

– Solid experience with transformer models, LLMs, and RAG architectures.

– Familiarity with multi-agent orchestration and observability tools (LangSmith, Arize, W&B).

– Strong coding expertise in Python, APIs, and microservices.

– Hands-on experience with Databricks and enterprise ML workflows.

– Familiarity with knowledge graphs and their applications in AI.

– Experience with CI/CD pipelines and cloud-native deployments.

– Strong analytical skills and ability to link AI to business outcomes.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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