Machine Learning Engineer

As part of a cross-functional team of engineers, data scientists, and product owners, you will be responsible for designing, implementing, optimizing, and maintaining our machine learning operations (MLOps) infrastructure. If you are passionate about bringing machine learning models from development to production seamlessly and efficiently, Avrioc is the place for you!

Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of professional experience in MLOps or related fields.
• Hands-on experience with containerization technologies like Docker and container orchestration tools such as Kubernetes and EKS.
• Good to have knowledge in implementing LLMOps best practices for model performance monitoring, drift detection, prompt management, and feedback loops.
• Good to have knowledge in model optimization techniques including quantization, distillation, and pruning for efficient inference on AWS infrastructure.

Technical Skills:

• AWS
• Kubernetes
• Python
• PyTorch / TensorFlow
• Slurm
• Ray
• Nvidia DGX
• Kubeflow, MLflow
• Langchain, ChainLit, LLaMAIndex

Additional Skills:

• Excellent problem-solving skills and ability to work independently.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Ability to stay updated with the latest technology trends and drive best practices in MLOps.

Common Responsibilities:

• Comply with Avrioc’s Information security and Information service management policies, procedures, and standards.
• Maintain confidentiality and integrity of information and attend mandatory Information security trainings.
• Report information security incidents through Avrioc’s established incident reporting channel.

Language Requirements:
Not specified.