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AI/ML Engineer
2 weeks ago
Role & responsibilities
- Strong understanding of ML algorithms, techniques, and best practices.
- Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of Mlflow or Kubeflow frameworks
- Strong programming skills in python and Data analytical expertise
- Experience in building Gen AI based solutions like chatbots using RAG approaches
- Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc.
Preferred candidate profile
- Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM.
- Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with product matching algorithms and image recognition techniques.
- Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures.
- Optimize and fine-tune models for performance and scalability.
- Collaborate with cross-functional teams to integrate ML solutions into products.
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