Cyclad

Machine Learning Engineer

140 - 160 PLN/ godz./ godz.B2BB2B (netto)

MidHybryda·WarszawaFull-time·B2B

#434322·Dodano miesiąc temu·6

Źródło: Cyclad

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Tech Stack / Keywords

Python Docker Kubernetes Google Cloud Platform Azure Apache Airflow Kubeflow Kafka Spark TensorFlow

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

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