Machine Learning Engineer / MLOps

Technologies we use

Expected

• Python
• Docker
• Kubernetes
• Apache Airflow
• Kubeflow
• Git
• Unix
• Linux
• Microsoft Azure

Optional

• Keras
• Tensor-flow
• PyTorch
• Spark
• Kafka
• Hadoop
• Google Cloud Platform

Operating system

• Windows
• Linux

About the project

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced a Machine Learning Engineer, who will be responsible for guiding the successful development, automation and governance of AI/ML Solutions to the internal customers. The MLE will be responsible for collaborating with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products for the company. The role will require working knowledge of Cloud, DevOps/ MLOps, Machine Learning, Deep Learning and Application Development. This position will also be involved in the formulation of key business requirements to be solved and rationalizing the various best practices to solve those problems.

Project information:

Type of project: IT Services

Office location: Warsaw

Budget: 150 – 170 PLN net/h on b2b

Work model: Hybrid (2 days/week in the office – central Warsaw)

Project length: Long-term

Only candidates with citizenship in the European Union and residence in Poland

Start date: ASAP (depending on candidate’s availability)

This is how we organize our work

This is how we work

• at the client's site
• agile
• scrum

Your responsibilities

• Script production-ready codes
• Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads
• Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud
• Craft re-usable tools and frameworks to monitor, optimize and maintain ML solutions
• Design and implement data engineering pipelines (ETL)
• Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround time
• Conduct internal workshops and external meetups, participate in external conferences, and give talks
• Continuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as needed
• Collaborate with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products

Our requirements

• A bachelor's or master’s degree in Computer Science, Operations Research, Mathematics and Computing with 3-4 years of relevant experience
• Experience of working with large data sets, coming from varied sources
• Excellent Programming Skills in Python
• Experience with containerization (Docker) and container orchestration using Kubernetes
• Experience in Cloud Application Development (Google Cloud Platform & Azure Preferred)
• Great at solving problems; debugging; troubleshooting; and designing & implementing solutions to complex technical issues
• 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, Git-based workflows
• Comfortable working in Unix/Linux environments
• Hands on experience of 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

Optional

• Understanding of Deep learning platforms such as Keras, Tensor-flow 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 (Flink/Spark/Kafka etc.)
• Experience with big data stack (Spark, Hadoop, Storm, Hive & Pig) and NoSQL stores

What we offer

• Hybrid working model (2 days/week in the office in Warsaw)
• Collaboration with senior engineers and cross-functional AI teams
• Dynamic and innovation-driven engineering environment
• Full-time job agreement based on b2b
• Private medical care with dental care (covering 70% of costs)
• Multisport card (also for an accompanying person)
• Life insurance

This is how we work on a project

• documentation
• issue tracking tools

Development opportunities we offer

• intracompany training
• mentoring
• substantive support from technological leaders
• technical knowledge exchange within the company

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• remote work opportunities
• flexible working time
• integration events
• dental care
• no dress code

Recruitment stages

• Introductory HR call
• Technical interview
• Final decision

Cyclad

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future.

This is how we work