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We’re looking for a Machine Learning Engineer to join a high-impact global team!
Are you passionate about designing large-scale data architectures, building automation tools, and enabling data scientists to focus on what they do best? This could be your next big opportunity.
What’s the challenge?
You’ll be responsible for developing end-to-end machine learning solutions, managing and automating ML lifecycles, and scaling tools in the cloud. The goal? Streamline processes and bring smart, scalable solutions to real business problems.
What you’ll be doing:
* Architect and implement complete machine learning solutions.
* Automate the ML lifecycle, from model development to deployment and monitoring.
* Collaborate with data engineers and data scientists to build scalable, production-ready systems.
* Design and evaluate cloud-based architectures with performance and cost-efficiency in mind.
* Work across technical teams to ensure smooth integration and development workflows.
* Understand business needs and propose data-driven solutions.
* Share knowledge and train others on how to use your tools and systems effectively.
What we’re looking for:
* A degree in Software Engineering, Computer Science, or equivalent experience in data engineering or ML roles.
* Hands-on experience building and deploying ML solutions.
* Strong skills in Python, SQL, and Spark.
* Familiarity with tools like Docker, Git, Bash scripting, FastAPI, Sagemaker Studio, Airflow, or CloudFormation.
* Solid understanding of data architectures and system integration.
* Problem-solving skills to tackle complex system-level challenges.
* Experience with cloud platforms such as AWS or GCP.
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
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