MLE/MLOps consultant

We are looking for smart, self-driven, high energy people with top notch communication skills, intellectual curiosity and passion for technology in Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (in Retail and CPG Domain), strong business acumen and excellent soft skills & Exposure to Technology. Technical Skills: Must Have Skills: • MLOps Implementation and Support Experience • Python Programming - Expert and Experienced - 4 -5 years • DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum • Hands-On MS Azure Cloud knowledge • Operations Experience if any • List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup • Well verse in coding standards (flake8 etc) • Automation, Technology and Process Improvement for the deployed projects • Agile trained to manage team effort and track through JIRA Nice to have Skills: • Understanding of any one of domain (Eg: Retail, Supply chain, Logistics, Manufacturing). Soft Skills: • Strong verbal and written communication skills with the ability to work well in a team. • Strong customer focus, ownership, urgency, and drive. • Ability to handle multiple, competing priorities in a fast-paced environment. • Work well with the team members to maintain high credibility. Work Experience: • 3-5 years of experience in Machine Learning, Azure and MLOps. Technical Requirements: Educational Requirements (any of the following): • Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. • Bachelor's degree in a quantitative discipline (e.g., Operation Research, Statistics, Mathematics) or significant relevant coursework with consistent academic track record. Additional Academic Qualification (good to have): • Masters in any area related to Science, Operation Research, Mathematics and Statistics with consistent academic track record. • PhD in any stream. Responsibilities: • Understand the requirements from the business and translate it into an appropriate technical requirement. • Responsible for successful delivery of MLOps solutions and services in client consulting environments; • Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. • Assist clients with operationalization metrics to track performance of ML Models • Help team with ML Pipelines from creation to execution • Guide team to debug on issues with pipeline failures • Understand and take requirements on Operationalization of ML Models from Data Scientist • Engage with Business / Stakeholders with status update on progress of development and issue fix • Setup Standards related to Coding, Pipelines and Documentation • Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology->AI-AI Engineering->MLOps