Machine Learning Engineer
Responsibilities
- build and deploy scalable machine learning models to solve real-world challenges,
- translate business requirements into machine learning tasks and goals,
- optimize data pipelines for model training and deployment,
- implement automated processes for model updates and deployment,
- ensure AI models integrate smoothly into client environments,
- keep up with new technologies and methodologies and apply them in action,
- share knowledge through deeptalks and workshops.
- at least 4 years in Machine Learning, including experience in deploying models,
- strong Python skills and familiarity with other object-oriented languages,
- experience with machine learning frameworks (PyTorch) and big data technologies,
- familiarity with Docker, Kubernetes, and cloud platforms for ML deployment,
- very effective communication skills, both written and verbal,
- ability to solve problems and communicate complex ideas effectively.
- experience with Generative AI and Large Language Models (LLMs),
- experience with Computer Vision projects,
- familiarity with NoSQL and Vector databases,
- exposure to backend engineering – asyncio, microservices, production databases.
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Seniority level
Mid-Senior level -
Employment type
Contract -
Job function
Engineering and Information Technology -
Industries
IT Services and IT Consulting
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