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As a Senior MLOps Engineer, you will play a crucial role in enabling applied AI. Your main focus will be on designing, building, and maintaining a secure, scalable, and efficient ML Platform with a platform-as-a-product mindset. This platform automates the end-to-end lifecycle for traditional ML models and LLM models, as part of the Cloud Platforms Engineering (CPE) directorate. CPE’s mission is to enable our engineering teams to ship value faster, securely, efficiently, and reliably.
In this role, you will:
Design and implement robust MLOps and LLMOps pipelines to automate and optimize machine learning model training, testing, deployment, and scaling.
Collaborate with data scientists and software engineers to ensure operational criteria are met before deployment.
Maintain and enhance CI/CD environments for machine learning systems.
Develop tools to improve visibility into system operation and facilitate troubleshooting and debugging.
Foster a culture of continuous improvement by incorporating feedback and lessons learned into future ML deployments.
Lead initiatives to increase the resilience and scalability of ML systems.
What you need:
Bachelor’s degree in computer science, engineering, statistics, or a related field.
At least 3 years of experience in software development or data engineering, focused on MLOps or similar roles.
Proven track record in designing and deploying scalable machine learning systems in production.
Strong programming skills in Python and experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLFlow, Kubeflow, Jupyter, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink).
Expertise in containerization (e.g., Docker, Kubernetes) and automation (e.g., Jenkins, GitLab CI).
Excellent problem-solving skills and the ability to work independently or in a team.
Bonus if you have:
Experience with data governance and compliance with data security regulations.
Familiarity with performance tuning of big data technologies.
What you will gain at Intapp:
A culture emphasizing accountability, responsibility, and growth in a positive, open atmosphere fostering creativity and teamwork.
A modern, flexible work environment supporting professional success and work-life balance.
Competitive salary, variable compensation, and equity.
Generous parental leave, paid time off, and family benefits.
Wellness programs, volunteer time off, and donation matching.
Opportunities for personal and professional development.
An environment where your contributions are valued and where you can make an impact.
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