
Machine Learning Engineer
2 weeks ago
Data Scientist Role
As a seasoned Data Scientist, you will be responsible for designing, developing, and deploying machine learning (ML) solutions for real-world use cases.
The successful candidate will design and develop ML/LLM solutions for various industries. Responsibilities include building and optimizing recommendation/personalization algorithms, developing and maintaining APIs & microservices to serve ML models, managing the end-to-end ML lifecycle: data pipelines, training, fine-tuning, deployment, monitoring, implementing and maintaining cloud-based ML workflows with scalable infrastructure, and ensuring robust CI/CD, containerization, and orchestration of ML models.
Key Requirements:
- A Bachelor's or Master's degree 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 experience with LLMs: fine-tuning, embeddings, vector databases.
- Familiarity with Docker, Kubernetes, Git, CI/CD.
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