MLE/MLOps consultant

Infosys; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

A leading IT consultancy in Bengaluru seeks a professional for MLOps solutions. The candidate will understand business requirements, deliver MLOps services, and engage with stakeholders. Required qualifications include a Bachelor of Engineering or a quantitative degree. A Master's or PhD is a plus. Responsibilities involve delivering solutions, establishing standards, and assisting in ML operations. Strong business acumen and technical skills required.

Qualifications

• Bachelor of Engineering/B.Sc/BBA/MCA/MSc required.
• Masters in a relevant area is a plus.
• PhD is good to have.

Responsibilities

• Understand technical requirements from business.
• Deliver MLOps solutions in consulting environments.
• Define business problems and develop high-level solutions.
• Assist with operational metrics for ML models.
• Help with ML pipelines creation and execution.
• Debug pipeline failures.
• Engage with stakeholders on project progress.
• Setup coding and documentation standards.
• Research new cloud technologies.

Skills

MLOps

Business Acumen

Agile Methodologies

Data Analytics

Education

Bachelor of Engineering

Bachelor's in a quantitative discipline

Master's in Science or Mathematics

Job description

Educational Requirements

Bachelor of Engineering, BBA, BSc, MCA, MSc

Service Line

Data Analytics Unit

Responsibilities

• Understand the requirements from the business and translate them 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 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.

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.

Technical and Professional 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.

Preferred Skills

Technology > AI Engineering > MLOps