Overview
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 (Google Cloud Platform). A solid foundation in data science is essential for this role.
Key Responsibilities:
• Develop, train, and deploy scalable Large Language Models (LLMs) and other ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Design and implement robust ML model deployment pipelines on Kubernetes clusters, ensuring efficient scaling and management.
• Optimize ML algorithms for performance, scalability, and production readiness.
• Collaborate with data engineers to build and maintain efficient data pipelines for model training and inference.
• Implement CI/CD pipelines tailored for ML workflows to ensure seamless deployment and updates of models in production.
• Monitor and maintain the health, performance, and reliability of deployed ML models, utilizing monitoring tools and best practices.
• Work closely with cross-functional teams to integrate ML models into production applications, ensuring alignment with business objectives.
• Stay up-to-date with the latest advancements in machine learning, LLMs, Kubernetes, and open-source technologies.
Qualifications:
• 5+ years of experience in machine learning, with a strong focus on production deployment.
• Proven experience with large-scale ML deployments and MLE best practices.
• Familiarity with Kubernetes and container orchestration is a plus.
• Strong proficiency in open-source ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with CI/CD tools and practices, specifically for ML workflows.
• Proficiency in programming languages such as Python, along with familiarity with data manipulation and analysis libraries.
• Experience with cloud platforms, particularly Google Cloud Platform (Google Cloud Platform).
• Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
Education:
• Bachelor s Degree required; Master s degree preferred.
ML Engineer/Machine Learning Engineer
Company:
Jobs via Dice
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
