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Python programming with OOPs

Python programming with OOPs

Infosys

5 - 10 years

5 - 15 Lacs

hyderabad chennai bengaluru

Posted:7 hours ago| Platform:

Apply

Skills Required

object oriented python programming dependency injection class based frameworks

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

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

Expertise in Object Oriented Python Programming with 6 -8 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

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
Python programming with OOPs concept, SQL, XML, YAML, Bash, JSON, Pydantic models, Class based frameworks, Dependency injections
FastAPI, Flask, Streamlit, Python, Azure API management, API Gateways, Traffic Manager, Load Balancers
Nginx, Uvicorn, Gunicorn,
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 Architect

Techinal Skills

Primary skills:Technology->OpenSystem->Python - OpenSystem

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 Information

Good knowledge on software configuration management systems
Strong business acumen, strategy and cross-industry thought leadership
Awareness of latest technologies and Industry trends

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

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

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Python programming with OOPs