Job Description
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.
- Solid 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. Roles 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 Technical Requirement 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. Additional Responsibility
- 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 Requirement MCA,MSc,MTech,Bachelor of Engineering,BE,BSc,BTech Preferred Skills Technology->AI-AI Engineering->MLOps Service Line Data Analytics Unit

📌 MLE/MLOps consultant (Bengaluru)
🏢 Infosys
📍 Bengaluru