Python Machine learning Engineer Full-time

Responsibilities

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.

Additional Responsibilities:

Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud

Domain experience in Capital Markets, Banking, Risk and Compliance etc.

Exposure to US/ overseas markets is preferred

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

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

Technical and Professional Requirements:

Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to –

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

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

Preferred Skills:

Technology->Machine Learning->Python