Machine Learning Operations Engineer (m/f/d)
Machine Learning Operations Engineer (m/f/d)
Machine Learning Operations Engineer (m/f/d)
Machine Learning Operations Engineer (m/f/d)
STARK Systems
Internet, IT
Berlin
- Art der Anstellung: Vollzeit
- 56.500 € – 73.000 € (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
Machine Learning Operations Engineer (m/f/d)
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Job Description
About Us
STARK is a new kind of defense technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.
We're focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their partners to deter aggression and defend Europe—today.
We're focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their partners to deter aggression and defend Europe—today.
Your mission
Designing, implementing, and maintaining the infrastructure and workflows that enable the efficient deployment, monitoring, and scaling of machine learning models.
Responsibilities
Design, implement, and maintain data pipelines for processing large volumes of data, ensuring efficient data flow for model training, testing, and inference.
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.
Work closely with data scientists, software engineers, and IT teams to ensure smooth integration of machine learning models and data pipelines into production systems.
Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes
Dive deep into the details to identify, understand, and solve difficult technical problems.
Constantly be challenging requirements to determine what adds value and what is not.
Qualifications
Bachelor's or Master's degree in Engineering or a related field.
MLOps tools such as DVC and Clear ML
CI/CD and cloud knowledge
Some Computer Vision experience or knowledge
Strong organizational skills
Excellent problem-solving skills and the ability to troubleshoot and resolve issues.
Strong communication and collaboration skills to work effectively in a multidisciplinary team environment.
Adaptability to work in a fast-paced, dynamic startup environment with a strong drive for innovation and continuous improvement.
Ability to travel as needed.
About us
LEGAL DISCLAIMER
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law. Due to the nature of our work in the defense sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for the position.
We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law. Due to the nature of our work in the defense sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for the position.
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