- Proficiency in Python and ML libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
- Solid understanding of Machine Learning algorithms, statistics, and probability
- Hands-on experience with end-to-end ML workflows and model evaluation techniques
- Familiarity with MLOps tools: MLflow, Kubeflow, Docker, CI/CD pipelines
- Basic knowledge of cloud platforms such as AWS, Azure, or GCP for model deployment GenAI
(Mandatory):
- Hands-on experience with Generative AI concepts and applications
- Working knowledge of LLMs, prompt engineering, and fine-tuning techniques Experience with frameworks/tools like LangChain or similar
- Understanding of RAG (Retrieval-Augmented Generation) and AI agents
- Exposure to OpenAI APIs or other LLM-based integrations
📌 AI / ML Engineer (Ahmedabad)
🏢 Nexuslink Services
📍 Ahmedabad
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