Data Innovation Specialist
2 weeks ago
We are seeking an experienced data scientist to join our team.
- Bachelor's/Master's in Computer Science, Data Science, or related field.
- 4+ years of applied Data Science / ML Engineering experience.
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, Scikit-learn).
- Hands-on with LLMs: fine-tuning, embeddings, vector databases.
- Experience building recommendation systems & personalization algorithms.
- Solid understanding of APIs & microservices (Django REST, FastAPI, Flask).
- Cloud-based ML deployments on Microsoft Azure.
- Familiarity with Docker, Kubernetes, Git, CI/CD.
Responsibilities
- Design, develop, and deploy ML/LLM solutions for real-world use cases.
- Build and optimize recommendation/personalization algorithms.
- Develop and maintain APIs & microservices to serve ML models.
- Manage end-to-end ML lifecycle: data pipelines, training, fine-tuning, deployment, monitoring.
- Implement and maintain Azure-based ML workflows with scalable infrastructure.
- Ensure robust CI/CD, containerization, and orchestration of ML models.
- Collaborate with cross-functional teams to deliver production-ready AI solutions.
The ideal candidate will have a strong background in machine learning, data science, and software engineering. They should be able to design, develop, and deploy complex ML models and systems.
We are looking for a highly skilled data scientist who can work collaboratively with our team to deliver innovative AI solutions.
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