Team Connect Sp. z o.o
Machine Learning Engineer Company Job ID Warszawa, pl
Team Connect Sp. z o.o, Snowflake, Arizona, United States, 85937
Team Connect is Poland’s leading nearshore and offshore IT provider. Since 2008 we successfully create and develop software for our clients.
We specialize in Agile and DevOps-based software development – from the analysis stage through implementation. We develop backend, frontend, and mobile applications.
Currently, we're looking for: Machine Learning Engineer Location: remote Your tasks:
Designing, developing, and implementing machine learning models and systems
Performing data analysis, statistics, data mining, and Big Data processing
Writing clean, efficient Python code using data‑science libraries such as pandas and scikit‑learn
Utilizing mainstream ML libraries (TensorFlow, PyTorch, Scikit‑Learn, PySpark, etc.)
Working with SQL and relational databases (ideally Snowflake)
Building and maintaining CI/CD pipelines and applying software engineering best practices
Collaborating with team members using version control tools (Git)
Summarizing and presenting analytical results to business and product stakeholders
Requirements:
Degree in Computer Science or related field (Data Science, Big Data, Mathematics, Physics, etc.)
At least 2 years of proven industry experience in machine learning projects
Strong programming skills in Python and data‑science libraries (pandas, scikit‑learn)
Working knowledge of SQL and relational databases
Expert knowledge in data analysis, statistics, machine learning, or Big Data processing
Experience with mainstream ML libraries (TensorFlow/PyTorch, Scikit‑Learn, PySpark)
Familiarity with data structures, CI/CD pipelines, software engineering principles, and code testing
Experience in collaborative work using Git
Nice to have:
5+ years of industry experience in designing and implementing ML systems
Experience in advertising, recommendation systems, or real-time bidding (RTB) ecosystems
Experience leading a team of developers
Familiarity with AWS tools (Airflow, SageMaker), Snowflake, Redis, Aerospike, ETL, or big data tools (PySpark/Snowpark, Docker, Kubernetes)
Experience deploying ML models into production
Knowledge of Infrastructure as Code (Terraform), orchestration tools (Airflow), building CI/CD pipelines with GitHub Actions, and monitoring tools (Prometheus, Grafana)
We offer:
Long-term cooperation
Benefits package – Multisport card, medical care & life insurance
Training budget
Assistance in accounting issues when setting up/running a business
Free English lessons
Individual support from a dedicated company supervisor
#J-18808-Ljbffr
We specialize in Agile and DevOps-based software development – from the analysis stage through implementation. We develop backend, frontend, and mobile applications.
Currently, we're looking for: Machine Learning Engineer Location: remote Your tasks:
Designing, developing, and implementing machine learning models and systems
Performing data analysis, statistics, data mining, and Big Data processing
Writing clean, efficient Python code using data‑science libraries such as pandas and scikit‑learn
Utilizing mainstream ML libraries (TensorFlow, PyTorch, Scikit‑Learn, PySpark, etc.)
Working with SQL and relational databases (ideally Snowflake)
Building and maintaining CI/CD pipelines and applying software engineering best practices
Collaborating with team members using version control tools (Git)
Summarizing and presenting analytical results to business and product stakeholders
Requirements:
Degree in Computer Science or related field (Data Science, Big Data, Mathematics, Physics, etc.)
At least 2 years of proven industry experience in machine learning projects
Strong programming skills in Python and data‑science libraries (pandas, scikit‑learn)
Working knowledge of SQL and relational databases
Expert knowledge in data analysis, statistics, machine learning, or Big Data processing
Experience with mainstream ML libraries (TensorFlow/PyTorch, Scikit‑Learn, PySpark)
Familiarity with data structures, CI/CD pipelines, software engineering principles, and code testing
Experience in collaborative work using Git
Nice to have:
5+ years of industry experience in designing and implementing ML systems
Experience in advertising, recommendation systems, or real-time bidding (RTB) ecosystems
Experience leading a team of developers
Familiarity with AWS tools (Airflow, SageMaker), Snowflake, Redis, Aerospike, ETL, or big data tools (PySpark/Snowpark, Docker, Kubernetes)
Experience deploying ML models into production
Knowledge of Infrastructure as Code (Terraform), orchestration tools (Airflow), building CI/CD pipelines with GitHub Actions, and monitoring tools (Prometheus, Grafana)
We offer:
Long-term cooperation
Benefits package – Multisport card, medical care & life insurance
Training budget
Assistance in accounting issues when setting up/running a business
Free English lessons
Individual support from a dedicated company supervisor
#J-18808-Ljbffr