Machine Learning Engineer @ Team Connect (práce v Polsku)

Machine Learning Engineer @ Team Connect

Polsko

• Degree in Computer Science or related fields.
• At least 6 years of industry experience in designing and implementing machine learning systems.
• Familiarity with CI/CD (e.g.: Github Actions, Airflow, etc.), ETL or big data tools (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, etc.).
• Familiarity with mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.) and/or cloud solutions (e.g.: AWS, Sagemaker, etc.).
• Programming skills in Python, Go or other OOP languages.
• Experience in SQL and databases including SQL query optimization.
• Experience with unit test frameworks.
• Familiarity with data structures, algorithms and software engineering principles.

Nice to have

• Experience with Infrastructure as Code (Terraform), orchestration tools (Airflow, AWS Step/Lambda), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting framework such as Prometheus and Grafana.
• Hands-on experience with machine learning related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store, etc.).
• Extensive programming experience in Python, Go or other OOP languages.
• Proficiency in SQL and databases and experience with SQL query optimization.
• Extensive experience with Snowflake, Snowpark, and Redis/Aerospike.
• Experience with the advertising industry, recommendation systems or real-time bidding (RTB) ecosystem.

We are currently seeking a Machine Learning Engineer for one of our clients in the consumer electronics and technology industry. The ideal candidate will have experience in designing and implementing machine learning algorithms, with a strong focus on solving complex problems in a dynamic and innovative environment. This is a great opportunity to contribute to high-impact projects and advance your career in a leading global company.

,[Develop, test, deploy, and maintain data, scalable low-latency machine learning products and pipelines supporting ML products considering factors such as the nature of the data, the complexity of the problem, and the available computational resources., Validate the models performance on unseen data, ensuring that it generalizes well and does not overfit the training data. Conduct rigorous testing to identify and address potential issues, such as bias or fairness concerns., Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and thousands of billions of daily batch predictions., Research the latest machine learning platform technologies pushing the boundaries of what is currently possible with ML and keep up-to-date with industry trends and developments., Experiment with new ML platforms tailored to our environment and create quick prototypes / proof-of-concepts., Streamline model deployment, unit testing, integration testing, and stress testing and ensure engineering quality., Support automation of the ML pipeline using CI/CD principles, promoting consistency, reproducibility, and agility., Work with Data Scientists to introduce new ML platform features, help streamline the model development process, and reduce the lead time for model production., Closely work with different internal ML teams (e.g., Data Scientists and MLOps teams) to improve codebase and product health., Depending of your skills and experience you will have a chance to technically lead people] Requirements: Python Additionally: Private healthcare, Training budget, International projects, Sport subscription, Modern office.

Kategorie

artificialIntelligence

Odpovědět na inzerát

Zajímavé nabídky práce v okolí:

Podívejte se na další nabídky práce