Senior DevOps/MLOps Engineer

2 months ago


Remote, Czech Republic kloud9.nyc Full time
  • 6+ years of hands-on experience in DevOps/MLOps.
  • 1+ years of working experience with the following toolset:
    • Google Cloud Platform (GCP)
    • Google Cloud Storage Python APIs
    • Dataproc Serverless
    • PySpark
    • Airflow for Data Processing Pipeline Development in GCP
  • Strong ability to design, manage, and customize Airflow pipelines.
  • Proven ability to work independently and take ownership of tasks.
  • Knowledge of Vertex AI Pipelines is a plus.

Location: Remote(Poland)

Contract Length: 6-8 weeks

Work Schedule: Part-time with a minimum of 2 hours of overlap with IST working hours daily

Position Overview:


We are passionate about using AI to revolutionize how our customers optimize operations, predict and prevent issues, and create personalized experiences. As a Senior DevOps/MLOps Engineer, you will play a key role in designing and implementing scalable solutions while managing and customizing Airflow pipelines on the Google Cloud Platform (GCP). You'll collaborate with our innovative teams to leverage AI, including Generative AI and machine learning algorithms, to drive better outcomes for our customers.  

,[Design and implement scalable DevOps/MLOps solutions., Take ownership of existing Airflow pipelines, quickly grasp their functionality, and customize them to meet business needs., Collaborate with teams to design and set up data processing pipelines using Airflow in GCP., Leverage GCP tools, including Google Cloud Storage, Dataproc Serverless, and PySpark for data processing tasks., Contribute to the development and automation of MLOps workflows.] Requirements: DevOps, MLOps, Google Cloud Platform, Google cloud platform, Python, PySpark, Airflow, GCP, JavaScript, AI

  • Remote, Czech Republic kloud9 Full time

    Job Title: Senior DevOps/MLOps EngineerWe are seeking a highly skilled Senior DevOps/MLOps Engineer to join our team at kloud9. As a key member of our engineering team, you will play a crucial role in designing and implementing scalable DevOps/MLOps solutions on the Google Cloud Platform (GCP).Key Responsibilities:Design and implement scalable DevOps/MLOps...


  • Remote, Czech Republic Connectis_ Full time

    Minimum 4 lata komercyjnego doświadczenia na stanowisku DevOps/MLOps, Cloud DevOps Engineer lub Cloud Engineer, Doświadczenie w pracy w środowisku Azure - znajomość technologii Azure Machinge Learning, Azure Data Factory, Azure Databricks, Azure Devops, Znajomość języków skryptowych SQL i Bash oraz umiejętność pisania skryptów...


  • Remote, Warsaw, Czech Republic hubQuest Full time

    Senior Azure MLOps EngineerWe are seeking a highly skilled Senior Azure MLOps Engineer to join our Global Analytics team. As a key member of our team, you will be responsible for designing and implementing Azure-based cloud infrastructure to support the development and deployment of AI-driven applications.Key Responsibilities:Collaborate with Data Scientists...

  • Senior Cloud Engineer

    4 weeks ago


    Remote, Czech Republic kloud9 Full time

    Senior DevOps/MLOps EngineerPosition Overview:We are passionate about using AI to revolutionize how our customers optimize operations, predict and prevent issues, and create personalized experiences.As a Senior DevOps/MLOps Engineer, you will play a key role in designing and implementing scalable solutions while managing and customizing Airflow pipelines on...


  • Remote, Warsaw, Czech Republic hubQuest Full time

    Job OverviewAs a Senior Azure MLOps Engineer, you will be working with our Global Analytics team to develop and deploy AI-driven applications using Azure-based cloud infrastructure.ResponsibilitiesCollaborate with Data Scientists to design smart data products and develop MLOps frameworks for Data Science projects.Design and implement Azure-based cloud...


  • Remote, Warsaw, Czech Republic hubQuest Full time

    advanced degree in Computer Science, Statistics, or a related STEM field minimum of 5 years of experience in ML engineering or engineering support for data science in an industrial or commercial setting proven experience with Azure cloud services and infrastructure strong background in operationalizing Data Science projects using Azure experience in...

  • MLOps Engineer

    1 month ago


    Remote, Czech Republic Link Group Full time

    Job Title: MLOps EngineerAt Link Group, we are seeking an experienced MLOps Engineer to join our team. As a key member of our data science team, you will be responsible for designing, building, and maintaining machine learning pipelines using Azure, Azure ML, and other cloud technologies.Key Responsibilities:Design and implement machine learning pipelines...


  • Remote, Czech Republic Connectis_ Full time

    Specjalista DevOps/MLOps w OBSzarze Aplikacji CloudCel: Poszukiwany jest doświadczony Specjalista DevOps/MLOps, który będzie odpowiadał za rozwój i optymalizację infrastruktury DevOps/MLOps w OBSzarze Aplikacji Cloud.PracaWspółpracujemy z dynamicznie rozwijającą się organizacją w branży ubezpieczeniowej. Zadaniem Specjalisty DevOps/MLOps jest...

  • Senior MLOps Engineer

    1 month ago


    Remote, Kraków, Czech Republic SoftServe Full time

    About the RoleWe are seeking a highly skilled Senior MLOps Engineer to join our team at SoftServe. As a key member of our AI/ML team, you will be responsible for designing and implementing end-to-end ML solutions, creating data pipelines and architectures, and setting up the infrastructure to optimize existing models.Key Responsibilities:Design and implement...


  • Remote, Czech Republic AVENGA Full time

    About AvengaAvenga is a forward-thinking organization that values innovation and excellence.Job OverviewThis role offers an exciting opportunity to join our team as a Senior MLOps Engineer. Your primary focus will be on driving the operationalization of data science projects, leveraging cutting-edge frameworks and platforms.ResponsibilitiesData Science...


  • Remote, Czech Republic AVENGA Full time

    Senior DevOps EngineerWe are seeking a highly skilled Senior DevOps Engineer to join our team at Avenga. As a key member of our infrastructure team, you will be responsible for designing, implementing, and maintaining our cloud infrastructure, ensuring high availability, scalability, and security.Key Responsibilities:Design and implement cloud infrastructure...


  • Remote, Czech Republic Avenga Full time

    Experience: 3+ years of experience in machine learning engineering, with exposure to both classical machine learning methods and language model-based applications Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; expertise with Transformers architectures, LangChain, or similar LLM...


  • Remote, Czech Republic Connectis_ Full time

    Stanowisko: Specjalista ds. rozwoju infrastruktury DevOps/MLOps Zadaniem jest rozwój i optymalizacja infrastruktury w celu wsparcia procesów analitycznych i modeli uczenia maszynowego. Do zadań należy również przygotowywanie środowiska pracy dla Data Scientist-ów, automatyzacja usług Azure oraz walidacja i przywracanie konfiguracji zgodnie z normami...

  • MLOps Engineer

    4 weeks ago


    Remote, Czech Republic Link Group Full time

    {"h1":"MLOps Engineer","p":"We are seeking an experienced MLOps Engineer to join our team at Link Group. This role will involve designing, building, and maintaining machine learning pipelines using Azure, Azure ML, and other cloud technologies. The successful candidate will work closely with data scientists and engineers to streamline the...


  • Remote, Warsaw, Czech Republic GetInData | Part of Xebia Full time

    Proficiency in Python, as well as experience with scripting languages like Bash or PowerShell Knowledge of at least one orchestration and scheduling tool, for example, Airflow, Prefect, Dagster, etc Understanding of ML algorithms and distributed training, e.g., Spark / PyTorch / TensorFlow / Dask / Ray Experience with cloud services (Azure / AWS /...


  • Remote, Czech Republic AVENGA Full time

    Experience with Kubernetes Experience in operationalization of Data Science projects (MLOps) using at least one of the popular - frameworks or platforms (e.g. Kubeflow & AWS Sagemaker). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash...


  • Remote, Czech Republic Avenga Full time

    Job DescriptionAt Avenga, we are seeking a highly skilled MLOps Engineer to join our team. As a key member of our AI/ML team, you will be responsible for designing, developing, and deploying machine learning models and pipelines that drive business value.Key Responsibilities:Algorithm Development: Design, develop, and customize machine learning algorithms...


  • Remote, Warsaw, Czech Republic hubQuest Full time

    Job SummaryWe are seeking an experienced Senior Azure MLOps Engineer to join our Global Analytics unit, a centralized team that strengthens data-driven decision-making and develops smart data products for day-to-day operations.About the RoleThe ideal candidate will have a strong background in operationalizing Data Science projects using Azure, deploying and...


  • Remote, Warszawa, Czech Republic TechHunt Full time

    About the Role: We are seeking an experienced Senior DevOps Infrastructure Engineer to lead our cloud-first DevOps strategy at TechHunt. This is a unique opportunity to shape the future of our hybrid infrastructure and drive innovation in DevOps practices.Job Description:We are looking for a highly skilled DevOps engineer with extensive experience in...


  • Remote, Warszawa, Czech Republic Deepsense.ai Sp. z o.o. Full time

    You must have: proficiency in the MLOps domain, awareness of best practices, frameworks, tools, strong experience with cloud (AWS, GCP, Azure), ability to design cloud-native applications using dedicated cloud services for: serverless functions, batch processing, managed kubernetes, relational databases, object storage, data warehouses, message buses,...