Looking for an ambitious, passionate, and creative-minded Engineer MLOps, to support the development of MLOps at Inception, driving and enabling automated machine learning model deployments and managing the full lifecycle of our ML projects. To play a key supporting role in shaping the overall MLOps strategy & capabilities at Inception, which is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products.
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Responsibilities
- Report to the Lead Engineer - MLOps and build the foundation of our MLOps capabilities
- Work closely with Data Scientists, Data Engineers, and Technology Service departments to manage the end-to-end ML lifecycle
- Automate machine learning workflows, code deployments, testing, and data validation processes
- Design, implement, and manage CI/CD pipelines tailored for machine learning workflows
- Ensure that machine learning models are properly versioned and deployed automatically
- Collaborate with data scientists and software engineers to optimize the automation process
- Continuously monitor and adjust CI/CD pipelines' performance and reliability
- Set up environments and implement scalable machine learning operations
- Optimize, debug, and automate MLOps pipelines for increased quality and efficiency
- Develop and maintain infrastructure & tools for the deployment and monitoring of ML algorithms in production
- Document and track all systems, pipelines, and best practices
Qualifications
To qualify for the role you must have
- Minimum of 3 years experience in setting up and maintaining CI/CD pipelines in a machine learning context
- Strong understanding of containerization and orchestration tools such as Docker and Kubernetes
- Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
- Proficient in scripting languages such as Python, Bash, or Shell for automation tasks
Ideally, you’ll also have
- ML Training data lifecycle knowledge
- Data storage and management engines experience: NoSQL databases; Search engines e.g. Elasticsearch, SQL databases; Timeseries databases
- Understanding of distributed computer systems and web software development
- Outstanding communication and presentation skills
What working at Inception offers
- Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
- Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
- Work-Life: A hybrid work policy to strike the perfect balance between office and home.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
