AI/ML Developer
1 day ago
Key Responsibilities:
- Derive and design use cases from structured and unstructured data.
- Provide LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services such as OpenAI models.
- Apply Retrieval-Augmented Generation (RAG) and relevant techniques to enhance LLM performance and capabilities.
- Develop end-to-end machine learning pipelines, including model development, tuning, implementation, deployment, and MLOps.
- Build and fine-tune transformer-based deep learning models.
- Collaborate with business and product teams to develop and implement analytics-driven AI solutions.
- Communicate findings and results to both technical and non-technical audiences.
- Stay updated with the latest research and innovations in AI, ML, Deep Learning, and Generative AI.
Mandatory Skills:
- Python, Scikit-learn, PyTorch, Transformers, SQL, LangChain
- Model building, hyperparameter tuning, performance evaluation, and deployment
- Deep Learning / LLM model fine-tuning and evaluation
Good to Have Skills:
- LLMOps
- Cloud experience (preferably AWS)
Experience Mix:
- AI / ML – 50%
- Deep Learning – 25%
- GenAI – Around 2 years
- Computer Vision / Video Analytics – as part of DL and GenAI
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