Machine Learning Engineer
Where exceptional talents scale what matters.
Swicon Minds is a curated community of 450+ senior top talents working on complex enterprise challenges, while operating within a stable, structured, and supportive ecosystem.
Summary
Bucharest, ROU
Remote
Medior
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.
Description
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.
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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Swicon Stories
Real people. Real challenges. Real impact.
„The whole hiring process was a really positive experience for me. I was given the opportunity to move forward professionally and to test myself in a new, more senior role. I was trusted from the start, and I had all the support I needed to take the next step in my career with confidence. They connected me with the right technical contact, and every question I had was answered quickly and clearly, so I never felt left on my own. Communication was smooth, each step built on the one before, and the whole process moved surprisingly fast and without a hitch.”
K. R. – Solution Architect
“Looking back over more than 15 years, Swicon gets top marks from me: it has built itself into a fast-growing multinational, and all the while it has backed its people professionally across the board — it even supported my PMP certification with a proper training course.”
B. T. – Sr. Projectmanager
“I’ve been working with SWICON for almost a year and a half now, and it’s been a positive experience from start to finish. Both the hiring process and the admin side of things ran smoothly, and whenever I had a question, help came quickly. I particularly appreciate how kind and helpful my colleagues are, and the fact that the company genuinely invests in building a community — there are regular programmes and events.
I’ve grown a lot professionally in my time here, too. My tasks and my responsibilities have kept widening, I’ve been able to take on more complex challenges, and I’ve also had the chance to support and mentor others. On the IT side I’ve been given opportunities that made a real difference to where I am professionally, so on the whole I see SWICON as a supportive place that gives you genuine room to grow.”
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