Machine Learning Ops Engineer

Expected

Optional

Adtran seeks an outstanding Machine Learning Ops Engineer II to work on the execution of ML/AI-driven Network Intelligence Solutions. You will collaborate with a highly skilled team of engineers, data scientists and subject matter experts to develop proof-of-concepts, explore AI-driven insights, and define next generation of data intelligence products.

• Deploy, monitor, and manage machine learning models in production using MLOps best practices.
• Automate model retraining, versioning, and deployment pipelines using CI/CD workflows.
• Ensure scalability, reliability, and reproducibility of ML models in cloud or on-prem environments.
• Design and implement end-to-end ML pipelines, including data ingestion, preprocessing, training, and inference.
• Optimize and maintain data pipelines for feature engineering and model retraining.
• Use tools like Airflow, Kubeflow, MLflow, or SageMaker Pipelines to orchestrate workflows.
• Deploy ML workloads on AWS, leveraging services like SageMaker, Databricks, Kubernetes, and Vertex AI.
• Optimize cloud resource utilization, cost management, and performance.
• Implement containerization and orchestration using Docker, Kubernetes, and AWS Fargate.
• Set up real-time model monitoring, logging, and alerting for performance tracking.
• Implement model drift detection and automate retraining strategies.
• Ensure models meet latency, throughput, and accuracy requirements.
• Enforce data governance, security, and access control policies for ML models and data pipelines.
• Ensure compliance with GDPR, HIPAA, and other industry regulations.
• Implement authentication and encryption mechanisms for data and model security.
• Work closely with data scientists, ML engineers, software engineers, and cloud architects.
• Collaborate with DevOps teams to integrate ML workloads into broader CI/CD pipelines.
• Participate in Agile workflows (sprint planning, stand-ups, retrospectives).

Optional

This is how we work

• Stable employment conditions based on an employment contract (turnover rate below 4%)
• 1 additional vacation day for all, and 1 extra after 10 years being with us
• Flexible working hours and possible hybrid work (presence in the office in Gdynia 3 days a week)
• English lessons during working hours
• Internal training program to support your training needs
• Paid employee referral program
• Multisport Card
• 3% employer contribution to PPK
• Private Health Care at Medicover (extended package for employees and possibility to enroll family members)
• Strong team-oriented and friendly work culture
• Access to various sports activities and events
• Modern office (well-equipped gym and playroom) close to the SKM/PKM stations

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• integration events
• corporate gym
• corporate sports team
• no dress code
• video games at work
• coffee / tea
• drinks
• parking space for employees
• pre-paid cards
• employee referral program
• extra leave

• 1 complex remote interview and feedback in 2 weeks!

Adtran