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Responsibilities

• 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 We Offer

• Employment directly through the client.
• Cooperation based on an 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.

Recruitment Process

Application: Submit your CV. The recruiter will contact selected candidates by phone.

Screening: Discuss your experience with a speedapp recruiter.

Next steps: The recruiter will explain the recruitment process for this position and stay in touch throughout.

About Speedapp

We build IT teams and help manage them, with 9 years of experience, over 100 clients worldwide, and more than 300 hires per year. Recognized with the Forbes Diamonds award in 2022, 2023, and 2024.

Contact

Barbara Krawczyk

IT Researcher



+48 734 469 838

Warszawa - Oferty pracy w okolicznych lokalizacjach