MLOps Engineer

3 months ago

Abu Dhabi, United Arab Emirates Bayanat Full time

You are responsible for the end-to-endautomation and optimization of the machine learning lifecycle, fromdata ingestion to model deployment andmonitoring.

You implement and manage CI/CDpipelines for machine learning models, ensuring rapid deploymentand robust testing of AI features.

You developand maintain infrastructure for scalable machine learning,including data pipelines, model training environments, anddeployment platforms.

You are committed toenhancing the performance and efficiency of machine learning modelsthrough continuous monitoring, testing, and optimizationtechniques.

You write clean, efficient, andmaintainable code that supports the seamless integration of AItechnologies into our platform.

You collaborateclosely with machine learning engineers and other team members,contributing to a cohesive team dynamic while keeping a sharp focuson the strategic objectives of our AIsolutions.

You lead initiatives to ensure thatour machine learning operations are efficient, scalable, andaligned with the evolving needs of real-worldapplications.

You stay at the forefront of MLOpspractices, embracing and integrating the latest advancements todrive innovation and operational excellence in our AIplatform.

TechnicalCompetencies:

Proficient inrapid prototyping and integration of machine learning featuresthroughout the development lifecycle.

Advancedproficiency in Python for software development, with a focus onautomation and scalability in machine learningoperations.

Practical experience with major AIframeworks, such as TensorFlow or PyTorch, tailored towardsoperationalizing machine learningmodels.

Proficiency with essential machinelearning libraries and tools, including but not limited toScikit-learn, OpenCV, and libraries for managing data and modelpipelines.

Demonstrated experience with cloudcomputing services (e.g., AWS, GCP, Azure) for deploying andscaling AI solutions, including familiarity with cloud-nativetechnologies for MLOps.

Education and experience:

Satisfy one of thefollowing:

• Ph.D. degree withconcentration in CV (or EO) and ML with 1+ years’experience of software development

•Master’s degree with 3+ years’ experience ofdeveloping CV (or EO) and ML solutions

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