Machine Learning Operations Engineer
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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Inetum We're Hiring: Machine Learning Operations Engineer Are you an experienced MLOps professional fluent in English and ready to take on a new challenge in a collaborative and forward-thinking environment? Join our client's DLPP team in Porto and help drive innovation in machine learning operations Fluent in English
(spoken and written) 5–8 years of experience
in MLOps or a related field Proven ability to ensure
security and data privacy compliance
across all MLOps activities Strong proficiency in
Python
and hands-on experience with
TensorFlow, PyTorch, or Scikit-learn Solid understanding of
CI/CD pipelines , automation tools, and
version control systems
(e.g., Git) Experience maintaining
secure and reliable Data Science environments
(vulnerabilities, obsolescence...) Hands-on experience with
cloud platforms
such as AWS, Azure, or Google Cloud and their ML services Knowledge of
GPU usage and management , including: Configuring and optimising GPU instances on cloud platforms Managing GPU drivers and libraries (e.g., CUDA, Nvidia) Strong
analytical and organisational skills A
proactive, pragmatic, curious, and autonomous
approach to work Excellent
team spirit
and interpersonal skills Experience with
Prometheus and Grafana
for metrics and monitoring Familiarity with
containerisation and orchestration technologies Knowledge of
Infrastructure as Code
and automation practices If you're ready to bring your expertise to a team that values innovation, collaboration, and continuous improvement — apply now and join us in beautiful Porto Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Inetum by 2x Get notified about new Machine Learning Engineer jobs in
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Machine Learning Operations Engineer
Há 9 horas
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