MLE/MLOps consultant

* 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

* Good knowledge on software configuration management systems
* Strong business acumen, strategy and cross-industry thought leadership
* Awareness of latest technologies and Industry trends
* Logical thinking and problem solving skills along with an ability to collaborate
* Two or three industry domain knowledge
* Understanding of the financial processes for various types of projects and the various pricing models available
* Client Interfacing skills
* Knowledge of SDLC and agile methodologies
* Project and Team management

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.

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.