jobs description

Job Title: ML Engineer

Job Type: Full Time

Job Location: Complete Remote

Experience: 5+ Years

Job Description:

We are seeking a highly skilled and experienced Machine Learning Engineer with expertise in developing and deploying Large Language Models (LLMs) and other complex ML models. The ideal candidate will have a strong background in MLE (Machine Learning Engineering) focused on production deployment, preferably utilizing Kubernetes and Google Cloud Platform. A solid foundation in data science is essential for this role.

Key Responsibilities:

1. Develop, train, and deploy scalable Large Language Models (LLMs) and other ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
2. Design and implement robust ML model deployment pipelines on Kubernetes clusters, ensuring efficient scaling and management.
3. Optimize ML algorithms for performance, scalability, and production readiness.
4. Collaborate with data engineers to build and maintain efficient data pipelines for model training and inference.
5. Implement CI/CD pipelines tailored for ML workflows to ensure seamless deployment and updates of models in production.
6. Monitor and maintain the health, performance, and reliability of deployed ML models, utilizing monitoring tools and best practices.
7. Work closely with cross-functional teams to integrate ML models into production applications, ensuring alignment with business objectives.
8. Stay up-to-date with the latest advancements in machine learning, LLMs, Kubernetes, and open-source technologies.

Qualifications:

1. 5+ years of experience in machine learning, with a strong focus on production deployment.
2. Proven experience with large-scale ML deployments and MLE best practices.
3. Familiarity with Kubernetes and container orchestration is a plus.
4. Strong proficiency in open-source ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
5. Experience with CI/CD tools and practices, specifically for ML workflows.
6. Proficiency in programming languages such as Python, along with familiarity with data manipulation and analysis libraries.
7. Experience with cloud platforms, particularly Google Cloud Platform.
8. Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

Education:

Bachelor's Degree required; Master's degree preferred.

Company: Jobs via Dice

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Complete MS United States

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Apply - ML Engineer/Machine Learning Engineer