About the Job
We are seeking an ambitious, passionate, and creative-minded Engineer - MLOps to support the development of MLOps at Inception. In this role, you will drive and enable automated machine learning model deployments while managing the full lifecycle of our ML projects. This position is crucial in shaping the overall MLOps strategy and capabilities at Inception, which serves as the UAE's national-scale enabler in AI Research and Development. We collaborate with leading organizations, including Microsoft’s AI SaaS, to deliver domain-specific Agentic AI Orchestrator platforms that utilize reasoning agents for precise and cost-effective services.
The Opportunity
Inception focuses on AI incubation, IP creation, applied AI R&D, and AI investment products. By creating tailored models for specific domains and languages, we ensure superior accuracy and efficiency. Your contributions will involve collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
Responsibilities
- Report to the Lead Engineer - MLOps and build the foundation of our MLOps capabilities.
- Work closely with Data Scientists, Data Engineers, and multiple Technology Service departments to manage the end-to-end ML lifecycle, including automating machine learning workflows, code deployments, testing, and data validation processes.
- Design, implement, and manage CI/CD pipelines specifically for machine learning workflows.
- Ensure proper versioning and deployment of machine learning models in production, staging, or testing environments automatically.
- Collaborate with data scientists and software engineers to optimize the automation process for training, validating, and deploying ML models.
- Continuously monitor the performance and reliability of CI/CD pipelines, making adjustments as necessary.
- Set up environments and fully implement scalable machine learning operations.
- Debug, optimize, and automate MLOps pipelines for increased quality and efficiency.
- Develop and maintain the infrastructure and tools that enable deployment and monitoring of ML algorithms in production.
- Stay updated on the latest technology trends to drive standard methodologies and maintain a competitive edge.
- Document and track all systems, pipelines, and best practices.
Qualifications
To qualify for this role, you should have:
- A minimum of 3 years of experience in setting up and maintaining CI/CD pipelines, preferably in a machine learning context.
- Strong understanding of containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Proficiency in scripting languages like Python, Bash, or Shell for automation tasks.
- Ideally, experience with ML training data lifecycle and various data storage management engines, including NoSQL databases, search engines like Elasticsearch, SQL databases, and time-series databases.
- Knowledge of distributed computer systems and web software development.
- Outstanding communication and presentation skills.
What We Look For
If you are a performance-driven individual with the ability to adapt to ambiguity, you will thrive in our environment. We value eagerness to explore meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. A bias for action and a passion for pioneering new frontiers in the AI space is integral to our community.
What Working at Inception Offers
- Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and innovation.
- Career: Opportunities for learning, development, and growth through structured training programs and high-tech projects.
- Work-Life Balance: A hybrid work policy that balances office and home life.
- Rewards: A competitive remuneration package that includes healthcare, education support, leave benefits, and more.
If you meet the criteria above and are eager to join our team, please reach out to us as soon as possible.
