As a Senior MLOPS Engineer at Akkodis, you will be a tech leader and key contributor in building scalable and distributed ML infrastructure and tools that solve real-life problems. This position involves close collaboration with teams to architect, build, and enhance cloud ML solutions. Responsibilities include designing data pipelines, developing and deploying scalable tools, and continuously improving machine learning systems.
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Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
Qualifications:
- An MSc degree in machine learning or a related field.
- Experience as an Applied Scientist, Machine Learning Engineer, or a similar role.
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent).
- Strong software engineering skills with complex, multi-language systems.
- Proficiency in one or more common programming languages (e.g., C++, Java, Python).
- Comfort with Linux administration and cloud computing/database systems.
- Experience developing and maintaining ML systems using open-source tools.
- Proficiency with common ML tools such as Spark, TensorFlow, and PyTorch.
Responsibilities:
- Design the data pipelines and infrastructure to support various machine learning needs at scale.
- Convert offline models into real machine learning production systems.
- Develop and deploy services for machine learning training and inference.
- Identify and evaluate new technologies to enhance performance and reliability.
- Maintain software engineering best practices in machine learning.
- Communicate with different stakeholders and stay connected to industry research to adopt new technology.
