Our client is the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing and managing the talent that enables them to win. They develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Their expert family of brands creates substantially more value for candidates and clients across 80 countries and territories and has done for 70 years. In 2018, Our client was named one of the World`s Most Ethical Companies for the ninth year and one of Fortune`s Most Admired Companies for the sixteenth year, confirming their position as the most trusted and admired brand in the industry.

Our client is looking for candidate for MLOps Engineer role.

Desired candidate should have;

- Bachelor`s degree in Computer Science, Engineering or Technical Field preferred.
- Minimum 3-5 years of relevant experience.
- Proven experience in machine learning engineering and operations.
- Profound understanding of machine learning concepts, model lifecycle management, and experience in model management capabilities including model definitions, performance management and integration.
- Execution of model deployment, monitoring, profiling, governance and analysis initiatives.
- Excellent interpersonal, oral, and written communication; Ability to relate ideas and concepts to others; write reports, business correspondence, project plans and procedure documents.
- Solid Python, ML frameworks (e.g., TensorFlow, PyTorch), data modeling, and programming skills.
- Experience and strong understanding of cloud architecture and design (AWS, Azure, GCP).
- Experience using modern approaches to automating machine learning pipelines.
- Agile and Waterfall methodologies.
- Ability to work independently and manage multiple task assignments within a structured implementation methodology.
- Personally invested in continuous improvement and innovation.
- Motivated, self-directed individual that works well with minimal supervision.
- Must have experience working across multiple teams/technologies.