Machine Learning Engineer
140 - 160 PLN/ godz.B2B
MidFull-time·B2B
#434322·Dodano wczoraj·2
Źródło: CycladTech Stack / Keywords
PythonDockerKubernetesGoogle Cloud PlatformAzureApache AirflowKubeflowKafkaSparkTensorFlow
Firma i stanowisko
Cyclad works with top international IT companies to deliver cutting-edge technologies. The project is an IT Services type located in Warsaw with a hybrid work model (2 days/week in office).
Wymagania
- Bachelor’s or master’s degree in Computer Science, Operations Research, Mathematics or Computing with 3-4 years experience
- Experience working with large data sets from varied sources
- Excellent programming skills in Python
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Experience in Cloud Application Development (preferably Google Cloud Platform & Azure)
- Problem-solving, debugging, troubleshooting, and designing complex solutions
- Experience designing, building, and maintaining ETL workflows and data pipelines using orchestration tools like Apache Airflow, Kubeflow or similar
- Proficiency with DevOps practices including CI/CD and Git workflows
- Comfortable working in Unix/Linux environments
- Hands-on experience designing, building, and supporting RESTful APIs
- Working knowledge of machine learning and deep learning concepts, and experience supporting model deployment and monitoring
- Very good English skills
Nice to have:
- Understanding of deep learning platforms such as Keras, TensorFlow, and/or PyTorch
- Understanding of key Machine Learning & Deep Learning algorithms
- Knowledge of Oilfield terminology and business practices
- Experience with IoT/ Edge technology
- Recognized open-source contributions
- Familiarity with data engineering tools (e.g., Flink, Spark, Kafka)
- Experience with big data stack (Spark, Hadoop, Storm, Hive, & Pig) and NoSQL stores
Obowiązki
- Script production-ready codes
- Leverage GPU & CPU resources appropriately for ML workloads
- Architect, automate and orchestrate DevOps/MLOps pipelines on cloud
- Craft reusable tools and frameworks to monitor, optimize and maintain ML solutions
- Design and implement data engineering pipelines (ETL)
- Understand business problems and collaborate to ensure scalability and business continuity
- Conduct internal workshops and external meetups, participate in conferences, and give talks
- Continuously keep up to date with AI/ML developments and upskill as needed
- Collaborate with Data Scientists, Domain Experts and Product Owners to build and deploy AI products
Benefity
- Hybrid working model (2 days/week in Warsaw office)
- Collaboration with senior engineers and cross-functional AI teams
- Dynamic and innovation-driven engineering environment
- Full-time job agreement based on B2B contract
- Private medical care with dental care covering 70% of costs
- Multisport card (also for an accompanying person)
- Life insurance
Opieka zdrowotna
Karta sportowa
Ubezpieczenie
Inne informacje
Only candidates with citizenship in the European Union and residence in Poland.
Cyclad
321 aktywnych ofert