• Collaborate with Engineers to deploy Deep Learning solutions which can scale
• Use Serving Frameworks (TFX Serving, Triton Serving, Kubeflow...) to deploy and benchmark models
• Build a tech-debt free ML infrastructure by applying MLOps/DevOps principles
• Setup CI/CD pipelines to accelerate/automate neural network deployment and trainings

What we expect from you...

• B.S., M.S. or Ph.D. in Computer Science, Engineering or related technical field
• 3+ years of highly technical, hands-on job experience
• Experience with MLOps/DevOps tools (e.g. Kubernetes, Docker, Kubeflow, MLFlow) and principles (e.g. experiment tracking)
• Knowledge in Python/C++ and Machine Learning frameworks (Tensorflow, PyTorch)
• Experience in planning and building CI/CD pipelines from scratch
• Experienced with Azure/GCP/AWS
• Great communication and collaboration skills

In return you will get...

• You can publish your ideas and/or patent them
• Conferences, meetups
• Complimentary coffee, and tea
• Customizable Cafeteria, private health insurance
• Complimentary guarded parking (cars, motorcycles, bikes)
• Fantastic events, including Christmas parties, family days, hackathons and other surprises

DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion. 

Docler Group is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation.

NOTE: Docler Group does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate.

For us the health of our colleagues and candidates is the most important, therefore our recruitment and the entire onboarding process is solved via online tools (e.g. video interview) without personal meetings. We are still very happy to receive and review your application.

We are in it for the long haul so your future is safe with us.

We are always on the lookout for fresh talent to join our #doclersquad!