MLOps Engineer

? ?Job Description

?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.