Senior Machine Learning Operations Engineer
Description For Senior Machine Learning Operations Engineer
Agiloft, the trusted leader in contract lifecycle management (CLM) software, is seeking a Senior MLOps Engineer to join their innovative team. This role presents an exciting opportunity to work at the intersection of machine learning and enterprise software, helping to build and maintain robust ML infrastructure that powers AI-driven contract management solutions.
The position offers a competitive salary range of $120,000 - $135,000 and embraces remote work, allowing for flexibility and work-life balance. As a Senior MLOps Engineer, you'll collaborate with Data Scientists, Legal Knowledge Experts, and Developers to design, build, and maintain production machine learning infrastructure and tooling.
Agiloft stands out as a market leader, recognized by top analysts like Gartner, Forrester, and IDC in the CLM space. The company boasts impressive customer satisfaction rates, with nearly 100% of new customers satisfied with initial implementations and a 97% annual renewal rate.
The role requires expertise in Python, machine learning frameworks, and cloud platforms (preferably AWS). You'll work with modern technologies including Docker, Kubernetes, and various CI/CD tools. Strong communication skills are essential as you'll be collaborating with diverse teams and mentoring junior members.
Agiloft offers an inclusive workplace environment that supports employee well-being through benefits like floating holidays and quarterly wellness days. The company actively supports multiple Employee Resource Groups and maintains a strong commitment to diversity and inclusion.
This is an excellent opportunity for an experienced MLOps professional looking to make a significant impact in a growing company that's at the forefront of AI-powered contract management solutions. You'll be instrumental in scaling and maintaining the machine learning infrastructure that powers next-generation contract management tools.
Responsibilities For Senior Machine Learning Operations Engineer
- Collaborate with cross-functional teams to build and maintain end-to-end machine learning pipelines
- Design, implement, and optimize infrastructure for rapid prototyping, continuous integration, deployment, and model evaluation
- Monitor and maintain production machine learning systems
- Provide technical guidance and mentorship to junior team members
- Set and enforce standards for code quality and best practices
- Stay updated with latest advancements in MLOps, cloud technologies, and generative AI
Requirements For Senior Machine Learning Operations Engineer
- Proven experience deploying and maintaining machine learning models in production environments
- Experience with REST API design and implementation
- Proficiency in Python and machine learning frameworks
- Experience in building and scaling machine learning pipelines and infrastructure
- Proficiency with cloud platforms, preferably AWS
- Strong communication skills
- Familiarity with CI/CD tools and practices
- Experience with Docker and Kubernetes
Benefits For Senior Machine Learning Operations Engineer
- Floating holidays
- Quarterly wellness day
- Employee Resource Groups (ERGs)
- Work-life balance
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