Cyclad

Machine Learning Engineer/ MLOps

150 - 170 PLN/ godz./ godz.B2BB2B (netto)

MidHybryda·WarszawaFull-time·B2B

#449770·Dodano miesiąc temu·1

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 shaping the future. The company operates in the IT services sector, with a project located in Warsaw involving long-term collaboration.

Wymagania

Bachelor's or master's degree in Computer Science, Operations Research, Mathematics or Computing with 3-4 years of relevant experience
Experience working with large data sets from varied sources
Excellent programming skills in Python
Experience with containerization using Docker and orchestration with Kubernetes
Experience in Cloud application development, preferably Google Cloud Platform and Azure
Strong problem-solving, debugging, troubleshooting, and solution design skills
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-based 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, including model deployment and monitoring
Very good English skills

Nice to have:

Understanding of deep learning platforms such as Keras, TensorFlow, and PyTorch
Understanding of key machine learning and deep learning algorithms
Knowledge of Oilfield terminology and business practices
Experience with IoT/Edge technology
Recognized open-source contributions
Familiarity with data engineering tools like Flink, Spark, Kafka
Experience with big data stack including Spark, Hadoop, Storm, Hive and Pig, and NoSQL stores

Obowiązki

Script production-ready code
Leverage GPU & CPU resources for ML workloads
Architect, automate, and orchestrate DevOps/MLOps pipelines on cloud
Develop reusable tools and frameworks for monitoring, optimizing, and maintaining ML solutions
Design and implement data engineering pipelines (ETL)
Understand business problems and ensure scalability, business continuity, and turnaround time
Conduct internal workshops and external meetups; participate in conferences and give talks
Continuously update and upskill on AI/ML and related technologies
Collaborate with Data Scientists, Domain Experts, and Product Owners to build and deploy AI products

Benefity

Hybrid work model (2 days per week in the Warsaw office)
Collaboration with senior engineers and cross-functional AI teams
Dynamic and innovation-driven engineering environment
Full-time engagement based on B2B contract
Private medical care with dental coverage (70% cost coverage)
Multisport card including for accompanying person
Life insurance

Elastyczne godziny

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Inne informacje

Only candidates with citizenship in the European Union and residence in Poland are considered.

Cyclad

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