Senior MLOps Engineer

We are seeking a Senior MLOps Engineer with a strong background in machine learning and data science. The ideal candidate will have experience in developing and deploying applications that leverage large language models (LLMs), with a focus on agentic design and automation within the MLOps pipeline.

Key responsibilities:

• Design, build, and optimize ML and data pipelines for LLM applications.
• Collaborate with data scientists and software engineers to deploy scalable, production-ready models.
• Implement fine-tuning techniques for large language models to enhance performance.
• Utilize cloud platforms (AWS, Azure, GCP) for deploying machine learning solutions.
• Manage MLOps technologies and tools, including but not limited to AWS SageMaker, Kubeflow, and Vertex AI.
• Automate workflows and streamline processes using scripting and CI/CD tools.
• Ensure adherence to best practices in software development, including test-driven development and version control.
• Maintain documentation and facilitate effective communication across teams using tools like Jira and Confluence.

Qualifications:

• A minimum of 5 years of experience in Data Science, with at least 2 years in Data Engineering, ML Engineering, or MLOps.
• Proficiency in programming languages such as Python and R.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau).

What we offer:

• Involvement in dynamic and interesting projects.
• A collaborative and supportive team culture.
• A flexible work environment.
• A comprehensive benefits package tailored to your preferences.

Sounds interesting? Click "Apply" and have chance to hear more!