AI/ML Engineer
1 month ago
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)
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