Machine Learning Engineer
- Infosys
- 6 - 10 years
- Bengaluru
- 18 days ago
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Job Description
Role & responsibilities
Industry knowledge- Knows basics of machine learning, is aware of cloud services, Azure services, has a deep understanding of coding practices, knows how to guide teams on debugging the issues, can connect the dots to arrivie at a solution and is very good at presentation of the ideas, thoughts and solutions.
Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to
- Expertise in Object Oriented Python Programming with 4 -5 years experience.
- DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum
- Hands-On MS Azure Cloud knowledge
- Understand and take requirements on Operationalization of ML Models from Data Scientist
- Help team with ML Pipelines from creation to execution
- List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup
- Assist team to coding standards (flake8 etc)
- Guide team to debug on issues with pipeline failures
- Engage with Business / Stakeholders with status update on progress of development and issue fix
- Automation, Technology and Process Improvement for the deployed projects
- Setup Standards related to Coding, Pipelines and Documentation
- Adhere to KPI / SLA for Pipeline Run, Execution
- Research on new topics, services and enhancements in Cloud Technologies
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
Agile trained to manage team effort and track through JIRA
High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline.
Preferred candidate profile
Education and Experience:
- Overall, 6 to 8 years of experience in Data driven software engineering with 3-5 years of experience designing, building and deploying enterprise AI or ML applications with at least 2 years of experience implementing full lifecycle ML automation using MLOps(scalable development to deployment of complex data science workflows)
- Bachelors or Masters degree in Computer Science Engineering or equivalent
- Domain experience in Retail, CPG and Logistics etc.
- Azure Certified DP100, AZ/AI900
Domain / Technical / Tools Knowledge:
- Object oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation
- Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs
- Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts.
- Experience designing and implementing ML Systems & pipelines, MLOps practices and tools such a MLFlow, Kubernetes, etc.
- Exposure to event driven orchestration, Online Model deployment
- Contribute towards establishing best practices in MLOps Systems development
- Proficiency with data analysis tools (e.g., SQL, R & Python)
- High level understanding of database concepts/reporting & Data Science concepts
- Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team
- Experience in managing client relationship and developing business cases for opportunities
- Azure AZ-900 Certification with Azure Architecture understanding is a plus
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: InfosysLocation(s): Bengaluru
Keyskills: Aiml Oops Programming Azure Machine Learning Machine Learning Ms Azure Cloud ML Ops Python
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