Within our Competence Management service, selected professionals don’t just join a project, or position – they become valued members of the SWICON team. Our colleagues are our top priority: we offer personalized support, dedicated attention, and a true professional community – because no one is just a number here. This people-first approach has earned us multiple HR awards. Join us and be part of an inspiring, future-driven, and recognized team!
Introduction
Swicon Group is one of the leading members of the IT arena for almost a decade, since 2017 present also in Romania. Our wide range of services and highly trained professionals give us the opportunity to shape our solutions to fully meet the ideas and wishes of our clients. We are proud to have leading banks, insurance and telecommunication companies, as well as large FMCG corporations and SSCs amongst our highly prestigious partners.
Tasks
Description:
Opening for a Machine Learning Engineer (MLE) role, 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.
Key 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.
Expectations
Qualifications and 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 (Python Preferred)
• 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
Good to have:
• Understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable
• In-Depth Understanding of key Machine Learning & Deep Learning Algorithms
• Knowledge of Oilfield terminology and business practices
• Experience with IoT/ Edge technology is a plus
• 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 is a plus
Behavioural Skills:
• Creativity and ability to formulate problems and solve them independently
• Highly collaborative work style
• Strong listening and communications skills
• Presenting & communicating information
• Result and quality focused
Advantages
- Excellent learning opportunities! Variety in your work and a fantastic, informal work atmosphere.
- A challenging environment that will stimulate you to grow as a professional!
- A great foundation for your career!
- Grow with us! Your role will develop over time, so you can increase your experience and responsibilities. So, you can advance faster and further in your future career.
- A friendly and welcoming work environment with an international working atmosphere where you can practice and learn new language skills with a diverse mix of colleagues and clients.
- A dynamic work environment with a culture that is open, innovative, and performance orientated.
Employer's offer
Remote work
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