Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Make an impact by working for sectors where technology is the enabler everything is ground-breaking and theres a constant need to be innovative.
Create and enhance projects in Java Python Angular and so much more while diving in the world of Blockchain Artificial Intelligence Data Science Security and Internet of Things.
Be part of the team that combines business knowledge technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
Face challenges and learn other ways of thinking and seeing the world - theres always room for your energy and creativity.
About the role
As a Machine Learning Engineer you will design build and deploy end-to-end ML solutions in production. You will work closely with data scientists and engineers to develop scalable data pipelines experiment with algorithms manage the ML lifecycle with tools like MLflow and ensure reliable deployment and monitoring of models.
As a part of your job you will:
- Design develop train and optimize machine learning models using modern frameworks.
- Build and maintain scalable data processing pipelines for data ingestion transformation and preparation.
- Implement and manage ML workflows using model tracking/versioning tools such as MLflowor similar.
- Create and maintain containerized environments for model deployment (e.g. Docker Kubernetes).
- Collaborate with engineering and data science teams to integrate ML solutions into production systems.
- Monitor evaluate and continuously improve model and pipeline performance.
What are we looking for
- A degree in an analytical field (e.g. Computer Science Engineering Mathematics Statistics or a similar domain).
- Minimum of 2 years of experience as a Machine Learning Engineer or in a similar role.
- Strong proficiency in Python.
- Hands-on experience with ML frameworks such as Keras PyTorch and scikit-learn.
- Experience with MLflow or equivalent model management tools.
- Experience with PySpark and large-scale data processing.
- Experience in containerization(Docker Kubernetes or similar).
Nice to have:
- Experience with Kubeflow or similar MLOps platforms.
- Knowledge of CI/CD best practices applied to machine learning pipelines.
Personal traits
- Ability to adapt to different contexts teams and Clients;
- Teamwork skills but also a sense of autonomy;
- Motivation for international projects and ok if travel is included;
- Willingness to collaborate with other players;
- Strong communication skills.
At Celfocus we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer we welcome applicants of all backgrounds gender identities and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process please inform our Talent Acquisition Team.
Come join the Team!
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Celfocus is a European high-tech system integrator, providing leading edge professional services focused on creating business value through Analytics and Cognitive solutions – addressing Telecommunications, Financial Services, Retail, Energy & Utilities, Pharmaceutical, and other mark ... View more
