Python ML developer

Infosys

3 - 8 years

0 Lacs

Bengaluru

Posted:-1 days ago| Platform:

Apply

Skills Required

software architecture team management orchestration software configuration management machine learning data processing performance optimization oracle sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Technology->Machine Learning->Python , Technology->Big Data - Data Processing->Spark - Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines.
Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management - Excellent Python programming and debugging skills.
(Refer to Pytho JD given below)- Proficiency with SQL, relational databases, & non-relational databases- Passion for API design and software architecture.
Total 2+ industry experience.
3+ year experience in applying machine learning techniques to real business problems.

More Jobs at Infosys

SAP IBP Consultant

Bengaluru

5.0 - 9.0 yrs

INR 6 - 10 Lacs

SAP CO Consultant

Bengaluru

5.0 - 7.0 yrs

INR 7 - 11 Lacs

VisionPlus Developer

Pune

3.0 - 8.0 yrs

INR 4 - 8 Lacs

Vision Plus Developer/ Analyst

Pune

7.0 - 11.0 yrs

INR 3 - 7 Lacs

Angular Consultant

Chandigarh

5.0 - 10.0 yrs

INR 6 - 10 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Machine Learning Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.