Softeq hiring Senior MLOps/DevOps Engineer (EU remote) • Remote (Work from Home) | Himalayas
SofteqSO

Senior MLOps/DevOps Engineer (EU remote)

Softeq Development Corp. is a technology development company specializing in IoT, AI, and embedded systems, providing innovative solutions for various industries.

Softeq

Employee count: 201-500

Poland only

Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together!

Locations/type of contract:

EU country (B2B contract directly with Softeq, fully remote)

We are looking for an experienced and motivated engineer to join our Data Science team within Medication Delivery Solutions (MDS) Business as a Senior MLOps Engineer. As an MLOps Engineer, you will play a crucial role in the deployment, monitoring, and maintenance of machine learning models. You will work closely with data scientists, software engineers, and IT operations to ensure that our machine learning models are reliable, scalable, and performing optimally in production environments. Your expertise will be essential in automating and streamlining our ML workflows, enhancing model reproducibility, and ensuring continuous integration and delivery. The MLOps Engineer will directly report to the Director of Data Science.

Responsibilities:

  • Design, build, and maintain the infrastructure required for efficient development, deployment, and monitoring of machine learning models.
  • Implement CI/CD pipelines for machine learning applications.
  • Develop and manage cloud-based and on-premises solutions for model training, deployment, and monitoring.
  • Ensure the scalability, reliability, and performance of machine learning systems.
  • Collaborate with data scientists to understand and implement requirements for model serving, versioning, and reproducibility.
  • Monitor and optimize model performance in production, identifying and resolving issues proactively.
  • Automate repetitive tasks to improve efficiency and reduce the risk of human error.
  • Maintain documentation and provide training to team members on MLOps best practices.
  • Stay updated with the latest developments in MLOps tools, technologies, and methodologies.
  • Communicate and share knowledge with other team members and actively participate in various learning-sharing opportunities

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in MLOps, DevOps, or related fields.
  • Strong programming skills in Python, with experience in other languages such as Java, C++, or Scala being a plus.
  • Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn.
  • Proficiency with CI/CD tools such as Jenkins, or GitLab CI.
  • Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation.
  • Strong understanding of machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment.
  • Excellent problem-solving skills and the ability to work independently as well as part of a team.
  • Strong communication skills and the ability to explain complex technical concepts to non- technical stakeholders.
  • Very good English language skills, both written and verbal (min. B2)

Preferred Qualifications:

  • Experience with feature stores, model registries, and monitoring tools such as MLflow, Tecton, or Seldon.
  • Familiarity with data engineering tools like Apache Spark, Kafka, or Airflow.
  • Knowledge of security best practices for machine learning systems.
  • Experience with A/B testing and model performance monitoring

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

Poland +/- 0 hours

About Softeq

Learn more about Softeq and their company culture.

View company profile

Embedded Tech, Edge AI, and IoT Development. We help small, medium, and large enterprise clients develop smart, connected solutions leveraging AI/ML, IoT, wearables, computer vision, industrial automation, and robotics. Our services include state-of-the-art embedded systems that combine hardware with powerful software, ensuring seamless connectivity and advanced functionalities. Whether it's firmware and algorithms or blockchain integration, our team is equipped to turn complex challenges into innovative solutions.

At Softeq, we prioritize delivering high-quality results to our clients on-time and within budget. Our areas of specialization include AI and Machine Learning, Industrial IoT, Consumer Electronics, and Healthcare solutions. We focus on using advanced technologies to drive efficiency and effectiveness in operations across various industries. Furthermore, our vast experience includes working with trusted clients to implement remote control of processes, monitor equipment, and enhance overall productivity with cutting-edge automation technologies.

Employee benefits

Learn about the employee benefits and perks provided at Softeq.

View benefits

Medical Coverage

Health insurance benefits.

Open management

Accessible and transparent leadership.

Friendly Atmosphere

A supportive and collaborative work environment.

International Team

Opportunity to work with a diverse, global team.

View Softeq's employee benefits
Claim this profileSofteq logoSO

Softeq

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

6 remote jobs at Softeq

Explore the variety of open remote roles at Softeq, offering flexible work options across multiple disciplines and skill levels.

View all jobs at Softeq

Remote companies like Softeq

Find your next opportunity by exploring profiles of companies that are similar to Softeq. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan