Note: The job is a remote job and is open to candidates in USA. Diverse Lynx is seeking an AI/ML Engineer with hands-on experience in building and deploying LLM-based solutions. The role involves working on NLP/GenAI use cases and collaborating with product and engineering teams to deliver scalable and secure outcomes.
Responsibilities
- Design, build, and fine-tune NLP/LLM solutions for business use cases (e.g., classification, summarization, Q&A)
- Develop efficient, well-documented Python code for training, inference, and evaluation pipelines
- Build RAG applications using embeddings, vector databases, and prompt engineering techniques
- Integrate LLM applications into services/APIs and ensure performance, reliability, and scalability
- Establish model evaluation, monitoring, and governance practices (quality, safety, bias, drift)
- Collaborate with data engineering and platform teams on data pipelines, deployments, and CI/CD
Skills
- 6+ years of overall experience in software development focusing on AI/ML engineering
- 2+ years of hands-on experience with deep learning for NLP/GenAI
- Strong Python proficiency, including writing production-quality, testable, maintainable code
- Experience with deep learning frameworks and libraries: PyTorch or TensorFlow; Hugging Face Transformers
- Solid understanding of deep learning architectures and modern NLP/LLM concepts (tokenization, attention/transformers, fine-tuning approaches)
- Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit
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