
Data Science Professional
8 hours ago
This role is responsible for spearheading the development and deployment of machine learning solutions across various applications.
- Lead in designing, developing, and fine-tuning ML/LLM models to drive business growth.
- Design and implement recommendation/personalization algorithms using advanced techniques.
- Develop and maintain APIs & microservices to serve ML models, ensuring seamless integration with existing systems.
- Oversee the end-to-end ML lifecycle, including data pipelines, training, deployment, and monitoring.
- Implement and manage Azure-based ML workflows with scalable infrastructure.
- Ensure robust CI/CD, containerization, and orchestration of ML models to optimize performance.
- Collaborate with cross-functional teams to deliver production-ready AI solutions that meet business objectives.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 5+ years of experience in applied Data Science/ML Engineering.
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, Scikit-learn).
- Hands-on experience with LLMs: fine-tuning, embeddings, vector databases.
- Familiarity with Docker, Kubernetes, Git, and CI/CD tools.
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