Senior MLOps Engineer

Intapp; Berlin; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a forward-thinking company as a Senior MLOps Engineer, where you will design and maintain a cutting-edge ML platform. This role emphasizes collaboration with data scientists and engineers to automate machine learning processes, ensuring efficient deployment and scaling of models. You'll be part of a culture that values creativity and teamwork, offering a modern work environment that supports both professional growth and work-life balance. With a competitive salary and comprehensive benefits, this is an exciting opportunity to make a significant impact in the AI space.

Leistungen

Competitive base salary

Generous paid parental leave

Paid Time Off

Tuition reimbursement plan

Wellness programs

Paid volunteer time off

Donation matching

Open collaborative environment

Stocked kitchens with snacks

Opportunities for personal growth

Qualifikationen

• 3+ years of experience in MLOps or similar roles.
• Proven track record in deploying scalable ML systems.
• Strong programming skills in Python with ML frameworks.

Aufgaben

• Design and implement MLOps and LLMOps pipelines for ML models.
• Collaborate with teams to ensure operational criteria are met.
• Enhance CI/CD environments for machine learning systems.

Kenntnisse

MLOps

Python

Machine Learning

Problem-solving

Data Engineering

Ausbildung

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Bachelor’s degree in Statistics

Tools

TensorFlow

PyTorch

MLFlow

Kubeflow

Docker

Kubernetes

Jenkins

GitLab CI

Azure ML Studio

Amazon Sagemaker

Jobbeschreibung

Position Overview:

As a Senior MLOps Engineer, you will play a crucial role in enabling applied AI. Your main focus will be on the design, build, and maintenance of a secure, scalable, and efficient ML Platform, with a platform as a product mindset, that automates the end-to-end life-cycle 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.

What you will do:

• 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 continuous integration (CI) and continuous deployment (CD) environments for machine learning systems.

• Develop tools to improve visibility into the system's operation and to facilitate rapid 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.

• Experience in software development or data engineering, with at least 3 years 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, MetaFlow, vLLM, Kubeflow, Jupyter notebook, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink).

• Expertise in containerization technologies (e.g., Docker, Kubernetes) and automation tools (e.g., Jenkins, GitLab CI).

• Excellent problem-solving skills and the ability to work independently or as part of a team.

Bonus if you have:

• Experience with data governance and ensuring compliance with data security regulations.

• Familiarity with performance tuning of big data technologies.

• LLM Model development.

What you will gain at Intapp:

Our culture at Intapp emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern work environment that’s connected yet flexible, supporting both professional success and work-life balance. In return for your passion, commitment, and collaborative approach, we offer:

• Competitive base salary plus variable compensation and equity.

• Generous paid parental leave, including adoptive leave.

• Traditional comprehensive benefits, plus:

  • Generous Paid Time Off.

  • Tuition reimbursement plan.

  • Family Formation benefit offered by Carrot.

  • Wellness programs and benefits provided by Modern Health.

  • Paid volunteer time off and donation matching for the causes you care about.

• Opportunities for personal growth and professional development supported by a community of talented professionals.

• An open, collaborative environment where your background and contributions are valued.

• Experience at a growing public company where you can make an impact and achieve your goals.

• Open offices and kitchens stocked with beverages and snacks.

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