AI/ML Engineer

1 month ago


Hyderabad, India ValueLabs LLP Full time

Job Title : AI/ML Engineer - Generative AI

Job Summary :

We are seeking a highly skilled AI/ML Engineer with expertise in Python, PyTorch, and Generative AI to join our team. The ideal candidate will have a strong background in taking academic research ideas to Proof-of-Concepts (POCs) and production-ready solutions. They will be responsible for designing, developing, and deploying cutting-edge AI/ML solutions, particularly in the area of Generative AI. The candidate should have experience in fine-tuning Large Language Models (LLMs), preference tuning using methods such as DPO, deploying them to production. They should also understand or have experience with retrieval-augmented generation (RAG), hybrid search, re-ranking and relevant concepts. They should be familiar with either AWS or Azure or GCP services for ML model deployment.

Responsibilities :

- Design, develop, and deploy AI/ML models using PyTorch and Python Django or FastAPI

- Take ideas from academic research papers to POCs and production-ready solutions

- Stay up-to-date with the latest advancements in AI/ML research and apply them to real-world problems

- Fine-tune LLMs on various tasks / domains; Evaluate performance

- Understand and implement retrieval-augmented generation, hybrid search, re-ranking, and late-interaction models

- Collaborate with cross-functional teams to integrate AI/ML models into the product

- Communicate complex technical ideas to both technical and non-technical stakeholders

- Participate in code reviews and ensure high-quality, maintainable code

- Troubleshoot, debug, evaluate different AI/ML models

Requirements :

- Expertise in PyTorch

- Proficiency in Python (at least 4 years of experience)

- Experience with Django or FastAPI & React

- Strong background in Generative AI, particularly in LLMs research and fine-tuning

- Experience in deploying LLM based solutions to production

- Understanding of RAG, hybrid search, re-ranking, and embeddings models

- Strong communication and collaboration skills

- Experience in taking research ideas to POCs and production-ready solutions

- Active involvement in tracking cutting-edge AI/ML research

Nice to have :

- Familiar with traditional data science and statistics

- Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes)

(ref:hirist.tech)
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