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
- 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
Key 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 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
Additional Responsibilities:
- 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
Preferred Skills:
Technology->AI-AI Engineering->MLOps
