Talent.com
This job offer is not available in your country.
Machine Learning Engineer

Machine Learning Engineer

speedappWarszawa, Polska
30+ days ago
Job description

Join the client's team in the consumer electronics industry.

RESPONSIBILITIES

  • Technologies used : Python, TensorFlow, PyTorch, AWS, Spark, Snowflake, Snowpark, Github Actions, Airflow, Grafana.
  • Design, test, deploy, and maintain efficient ML solutions and pipelines, considering data, problem complexity, and computational constraints.
  • Ensure robust model evaluation on unseen datasets to prevent overfitting and address bias or fairness concerns.
  • Develop advanced ML platforms capable of managing large-scale training pipelines and processing billions of predictions daily.
  • Prototype and experiment with tailored ML platforms, creating proofs of concept.
  • Optimize the model deployment lifecycle, implementing CI / CD practices for automation and consistency.
  • Collaborate with Data Scientists to enhance platform features and streamline model development, accelerating the transition to production.
  • Work with internal teams to improve code quality and ensure the reliability and performance of ML systems.

REQUIREMENTS

  • A degree in Computer Science or a related field.
  • A minimum of 2 years of demonstrable experience in the industry.
  • Knowledge of CI / CD tools and frameworks (e.g., GitHub Actions, Airflow) and expertise in ETL or big data technologies (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes).
  • Proficiency with popular machine learning libraries (e.g., TensorFlow, PyTorch, Spark ML) and / or cloud platforms (e.g., AWS, SageMaker).
  • Strong programming skills in Python, Go, or other object-oriented programming languages.
  • Solid experience with SQL, including query optimization and database management.
  • Familiarity with unit testing frameworks and practices.
  • A good understanding of data structures, algorithms, and core software engineering concepts.

    • NICE TO HAVE

  • A minimum of 5 years of experience in designing and deploying machine learning systems in an industry setting.
  • Expertise in Infrastructure as Code (e.g., Terraform), orchestration tools (e.g., Airflow, AWS Step Functions / Lambda), building CI / CD pipelines with GitHub Actions, and real-time monitoring and alerting tools such as Prometheus and Grafana.
  • Hands-on experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, model registries, OpenMetadata, ML feature stores).
  • Advanced programming skills in Python, Go, or other object-oriented programming languages.
  • Strong proficiency in SQL and database management, with a focus on query optimization.
  • In-depth experience with Snowflake, Snowpark, and Redis / Aerospike.
  • Familiarity with the advertising industry, particularly in the areas of recommendation systems and real-time bidding (RTB) ecosystems.

    • WHAT DO WE OFFER ON THIS PROJECT?

  • Employment directly through the client.
  • Cooperation based on a employment contract.
  • Hybrid work from Warsaw (3 times a week in the office).
  • Benefits : Private medical care (possibility to add family members for free), Multisport card, Life insurance, Lunch card, Variety of discounts (products, theaters, restaurants), Unlimited free access to Copernicus Science Center for you and your friends, Possibility to test new products.

    • WHAT DOES THE RECRUITMENT PROCESS LOOK LIKE?

    Application : Apply and submit your CV.

    After the application review, the recruiter will contact selected candidates by phone.

    Screening : Have a conversation with a speedapp recruiter about your experience.

    Next steps : The speedapp recruiter will explain the recruitment process for the specific position.

    The speedapp recruiter will stay in touch with you throughout the entire process.

    ABOUT SPEEDAPP

    At speedapp, we believe that an organization is only as good as the people who make it up. We are a team of IT experts and other professionals working for our clients around the world (including Israel, Austria, USA). We go far beyond the HR category. We build IT teams and also help manage them.

    9 years of experience

    100 clients worldwide

  • 300 hires per year

    • We have three times won the prestigious "Forbes Diamonds" award (2022, 2023, 2024). We are a member of the European Fast Growth Icons network and FinTech Poland. We are ranked 18th among the 100 fastest growing companies 2023 by Clutch.

    DO YOU HAVE ANY QUESTIONS?

    Contact the recruiter responsible for this process directly.

    Barbara Krawczyk

    IT Researcher

    barbara.krawczyk@speedapp.pl

  • 48 734 469 838
    • Create a job alert for this search

    Machine Learning Engineer • Warszawa, Polska