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Senior MLOps Engineer

Overview:

Seeking a visionary, innovative, and dynamic Senior MLOps Engineer, to ensure that G42's cutting-edge AI models are deployed effectively and efficiently in real-world applications, playing a key role in orchestration, and automation, and ensuring their seamless transition from development through to final deployment. You will implement and manage the MLOps infrastructure, taking ownership of MLOps practices, ensuring the reliability and performance of our AI models in production, streamlining processes, and later maintaining and monitoring them. 

 

The opportunity
Inception 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. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.

Responsibilities:

  • Develop and execute a robust MLOps strategy to enable seamless deployment of AI models, ensuring performance, scalability, and reliability.
  • Manage and optimize the infrastructure required for model deployment, including cloud resources and container orchestration platforms.
  • Implement automation for CI/CD pipelines, model versioning, and monitoring to streamline model deployment and maintenance.
  • Work on designing and implementing scalable solutions to handle an increasing volume of AI models and data.
  • Develop and maintain tools for real-time monitoring and alerting to detect and address performance issues promptly.
  • Collaborate with data scientists and engineers to ensure seamless integration of models into applications, ensuring they meet business requirements.
  • Ensure data privacy, model security, and compliance with industry standards and regulations.
  • Maintain comprehensive documentation of MLOps processes, best practices, and workflows for knowledge sharing.
  • Troubleshoot issues related to model deployment, data pipelines, and infrastructure, providing effective solutions in a timely manner.

Qualifications:

To qualify, you must have:

  • A Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  •  Minimum of 5 years of professional experience in MLOps, DevOps, or a related field.
  • Proficiency in containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
  • Strong expertise in CI/CD pipelines and version control (e.g., Git).
  • Experience with orchestration tools like Apache Airflow.
  • Solid knowledge of machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Scripting and programming skills in Python and familiarity with automation tools.

 

Ideally, you'll also need:

  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Problem-solving mindset and the ability to think creatively to find innovative solutions.
  • A passion for artificial intelligence and cloud computing with a strong desire to make a positive impact in the industry.

 

What we look for 
If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.

 

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. 

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