Machine Learning Operations Engineer (m/f/d)

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

Zusammenfassung

An innovative defence technology company is seeking an Infrastructure and Workflow Engineer to enhance the deployment of machine learning models. This role involves designing and maintaining efficient workflows, collaborating with multidisciplinary teams, and staying ahead of industry trends. Join a forward-thinking organization dedicated to providing high-performance unmanned systems that ensure a decisive edge in contested environments. If you're adaptable, skilled in MLOps, and eager to tackle complex challenges, this opportunity is perfect for you.

Qualifikationen

• Experience with MLOps tools and CI/CD processes.
• Strong organizational and problem-solving skills.

Aufgaben

• Design and maintain data pipelines for model training and inference.
• Build automated CI/CD pipelines for seamless transitions to production.

Kenntnisse

MLOps

CI/CD

Cloud Platforms

Problem Solving

Collaboration

Ausbildung

Bachelor's or Master's degree in Engineering

Tools

DVC

ClearML

Jobbeschreibung

Job Title: Infrastructure and Workflow Engineer (MLOps)

Employment Type: Permanent, Full-time

Location: Berlin

About Us

STARK is an innovative defence technology company transforming how autonomous systems are deployed across various domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, scalable, and cost-effective, providing our operators with a decisive edge in contested environments.

Our focus is on delivering deployable, high-performance systems today, not just future promises. Amid rising threats, STARK enhances the technological edge of NATO Allies and Partners to deter aggression and defend Europe.

Your Mission

Design, implement, and maintain infrastructure and workflows that enable efficient deployment, monitoring, and scaling of machine learning models.

Responsibilities

1. Design, implement, and maintain data pipelines for processing large volumes of data, ensuring efficient data flow for model training, testing, and inference.
2. Build and manage automated Continuous Integration and Continuous Deployment (CI/CD) pipelines for model training, deployment, and monitoring, enabling seamless transitions from development to production.
3. Collaborate with data scientists, software engineers, and IT teams to ensure smooth integration of machine learning models and data pipelines into production systems.
4. Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve products and processes.
5. Identify, understand, and solve complex technical problems through detailed analysis.
6. Evaluate requirements critically to determine value-added activities and eliminate inefficiencies.

Qualifications

1. Bachelor's or Master's degree in Engineering or a related field.
2. Experience with MLOps tools such as DVC and ClearML.
3. Knowledge of CI/CD processes and cloud platforms.
4. Some experience or knowledge in Computer Vision.
5. Strong organizational skills.
6. Excellent problem-solving and troubleshooting abilities.
7. Effective communication and collaboration skills for multidisciplinary teamwork.
8. Adaptability to a fast-paced, innovative startup environment.
9. Willingness and ability to travel as needed.

Application Process

We look forward to hearing from you! Please complete our short application form. If you encounter difficulties uploading your data, contact our recruiting team.

Legal Disclaimer

We are an equal-opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or other protected characteristics. Due to the nature of our work in the defense sector, candidates must be eligible for security clearance.

Thank you for your interest in STARK.