Machine Learning Engineer

Miejsce pracy: Warszawa

Technologies we use

Expected

• Python
• Kubernetes
• Apache Airflow
• Docker
• Git
• Machine Learning
• Azure Cloud
• Google Cloud Platform
• MLOps

Optional

• Flink
• Spark
• Kafka
• Hadoop

Operating system

• 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: 140 – 160 PLN net/h on b2b

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

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
• you focus on a single project at a time
• you have influence on the choice of tools and technologies
• you have influence on the technological solutions applied
• you develop the code "from scratch"
• you focus on product development
• 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

• Clean Code
• code review
• Continuous Deployment
• Continuous Integration
• DevOps
• 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
• flexible working time
• dental care
• no dress code
• employee referral program

Recruitment stages

• Introductory call
• Technical
• Project 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.

Please enclose the following statement in your application:I hereby give consent for my personal data contained in the submitted application documents to be processed by Cyclad sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, including my image, in relation to my participation in the recruitment process. I acknowledge that the above consent may be withdrawn at any time.
If you are interested in participating in future recruitment processes, please enclose the following statement in your application:I hereby give consent for my personal data contained in the submitted application documents to be processed by Cyclad Sp. z o.o., Cyclad sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, including my image, in relation to my participation in future recruitment processes. I acknowledge that the above consent may be withdrawn at any time.The Personal Data Controller is Cyclad Sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, e-mail: [email protected], contact with the Data Protection Officer is available via e-mail: [email protected]. Personal data collected through job applications (CV) within the scope provided for in labor regulations shall be processed in order to allow performance of the ongoing recruitment pursuant to Art. 6(1)(a) of Regulation (EU) no. 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (further referred to as GDPR). In case of giving consent to processing of data for future recruitment processes – personal data shall be processed under theconsent, pursuant to Art. 6(1)(a) of the GDPR. If the Application form contains data referred to in Art. 9(1) of the GDPR, it shall be necessary to have the candidates consent for the processing of such data (Art. 9(2)(a) of the GDPR). The consent can be revoked at any time. Withdrawal of the consent shall not affectthe lawfulness of the processing that had been performed under the consent prior to its withdrawal. Personal data provided by the candidate related to:- participation in a selected recruitment process will be stored until the recruitment process is completed for a given position,- participation in future recruitment processes will be stored until the candidate's consent to the processing of their data for this purpose is withdrawn, no longer, however, than for 5 years since the last update of the candidate’s data.Personal data may be disclosed to employees or associates of the Company, entities providing support to the Company on the basis of outsourced services or in accordance with data processing agreements, to entities authorized under the law, as well as to entities collaborating with the Company within the scope of job placement, in order to conduct recruitment processes. After the employee’s consent, personal data may also be disclosed to a potential employer for whom the recruitment process is being conducted.Submission of the candidate’s personal data within the scope under Art. 221 of the Labor Code is obligatory for participation in the recruitment process. Submission of other data by the candidate is voluntary. No submission of personal data within the required scope or objection to the processing ofsuch data shall result in lack of possibility to include the Application in the recruitment processes conducted by the Company.The candidate has the right to access and rectify the contents of their data, remove such data, limit its processing, transfer such data, submit objection to the processing and revoke the consent at any time, without affecting the lawfulness of the processing conducted under such consent before it waswithdrawn. The candidate also has the right to file a complaint with the President of the Office for Personal Data Protection when they consider the processing of their personal data to be a violation of the provisions of the GDPR.