Aktualne oferty pracy związane z Senior Data Engineer ML Engineer - Gdańsk - emagine Polska

  • Senior Data Engineer

    2 tygodni temu


    Gdańsk, Pomerania, Polska B2B S.A Pełny etat 9 600 zł - 14 400 zł rocznie

    Jako Senior Data Engineer / ML będziesz odpowiedzialny za kompleksowe zarządzanie cyklem życia modeli uczenia maszynowego — od etapu rozwoju, poprzez wdrożenie i monitorowanie, aż po zapewnienie ich optymalnej wydajności i niezawodności.Hybrydowo (3 dni w tygodniu z biura)Senior Data Engineer / MLTwój zakres obowiązkówImplementacja zasad MLOps...


  • Gdańsk, Polska S&P Global Pełny etat

    A leading analytics company in Gdańsk is seeking a Mid-Senior Level Machine Learning Engineer to enhance our product features with machine learning. You will implement robust ML Ops pipelines and guide the team in best practices. Ideal candidates will have 2-3 years of experience in production environments, strong proficiency in Python, and excellent...


  • Gdańsk, Pomerania, Polska Ciklum Pełny etat 55 000 zł - 110 000 zł rocznie

    Ciklumis looking for aSenior Data ScienceEngineerto join our team full-time in Poland.We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts, and product owners, we...

  • Data DevOps Engineer

    1 tydzień temu


    Gdańsk, Pomerania, Polska Hard Rock Digital Pełny etat 40 000 zł - 80 000 zł rocznie

    What are we building?Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world. We're building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behaviour, and...


  • Gdańsk, Pomerania, Polska Hard Rock Digital Pełny etat

    Job description Location: Poland only, fully remoteJob Type: B2B, full timeOverviewHard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We care about each customer's interaction, experience, behaviour, and insight and strive to ensure we're always acting authentically.Rooted in the...


  • Gdańsk, Pomerania, Polska Graphcore Pełny etat

    About GraphcoreGraphcore is one of the world's leading innovators in Artificial Intelligence compute.It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.As part of the SoftBank Group, Graphcore is a member of an elite...

  • DevOps Engineer for ML

    1 dzień temu


    Gdańsk, pomorskie, Trójmiasto, Polska Jit Team sp. z o.o. Pełny etat

    DevOps Engineer for MLMiejsce pracy: GdańskTechnologies we useExpectedGitPythonBashLinuxJenkinsJiraConfluenceDockerSQLPySparkAWSAbout the projectSalary: 1100 - 1350 PLN/day on B2BWork model: elastic hybrid from Gdynia / Gdańsk / Warszawa / Łódź (3 days per week from the office)We 're looking for a skilled DevOps Engineer to join our client's dynamic ML...

  • ML Engineer

    3 dni temu


    Gdańsk, Trójmiasto, Polska emagine Polska Pełny etat 25 zł - 200 zł

    Project information:Industry: BankingLocation: hybrid model 3x/week in office (Gdynia/Gdańsk/Warsaw/Lódź)Remuneration: 170 zl/h net+vatType of contract: B2BDuration: Long-termSummury:The AI - ML Engineer role focuses on developing and deploying generative and predictive AI models to support the Group Financial Crime Prevention team. This position operates...

  • Senior Data Engineer

    2 tygodni temu


    Gdańsk, Pomerania, Polska EPAM Systems Pełny etat 90 000 zł - 120 000 zł rocznie

    We are looking for a dynamic, hands-onSenior Data Engineerfor a full-stack AI native Data Eng team for building a cutting-edge quantitative investment platform.This role requires 5 days of work per week from the office in Krakow or Gdansk.ResponsibilitiesImplement data pipelines for structured, unstructured, and operational data sourcesEnsure efficient data...


  • Gdańsk, Pomerania, Polska Wipro Pełny etat 150 000 zł - 200 000 zł rocznie

    Job DescriptionJob Title: (Contract) Senior AI Validation EngineerReq Id: 113564City: GdanskState/Province: pomorskiePosting Start Date: 11/21/25Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs....

Senior Data Engineer ML Engineer

2 tygodni temu


Gdańsk, Polska emagine Polska Pełny etat

Information about the project: Industry: banking Rate: up to 165 pln/h net + VAT, B2B Location: Warsaw/Łódź/Gdańsk/Gdynia - hybrid Summary The primary objective of this role is to manage the complete lifecycle of machine learning models, ensuring their optimal performance, reliability, and integration in business processes through effective use of MLOps practices. Main Responsibilities Managed the lifecycle of machine learning models from development to deployment and monitoring, ensuring optimal performance and reliability. Implemented MLOps principles, including continuous integration, continuous delivery, testing, and monitoring, to streamline machine learning operations. Worked collaboratively with use case teams to design and deploy Machine Learning models. Key Requirements Proficiency in programming languages like Python and Spark (minimum 5 years). Understanding of algorithms and data structures, with knowledge of statistics and linear algebra. Experience with machine learning frameworks (TensorFlow or PyTorch) for training, refining, and deploying ML models. Solid understanding of distributed systems, with experience in the Hadoop/Hive ecosystem or other Big Data technologies. Familiarity with cloud platforms like AWS, Azure, and Google Cloud. Proficient in SQL (Spark/Hive SQL) with experience in creating data flows. Experience with version control systems like BitBucket and GIT. Familiar with Agile and Safe frameworks. Cloud AWS experience is a significant plus. Nice to Have Experience in designing and implementing ML models (e.g., propensity models, customer lifetime value, micro-segmentation) to support training and deployments.