Whitefield Bengaluru Karnataka Senior software engineer Jobs – 3760 Open Jobs Today

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Senior Machine Learning Engineer, ITC

Nike -
Bengaluru Urban District, Karnataka

Apply Now

Job details

Full-time
7 days ago

Qualifications

TensorFlow
CI/CD
Data modelling
Go
Cloud architecture
Computer Science
Kubernetes
Engineering
Data structures
Spark
R
Test-driven development
Research
Master's degree
SQL
AWS
Analysis skills
Docker
Machine learning
PostgreSQL
Terraform
Continuous integration
Redis
APIs
ETL
Agile
AI
Leadership
Jenkins
Communication skills
Python
Software architecture
Analytics

Full job description

Position Type

Full Time

Career area

Machine Learning

Location

4/F, WeWork, Embassy GolfLinks, Karnataka, Karnātaka 560093, India

Job ID

R-90114

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHO YOU WILL WORK WITH

You will work closely with business stakeholders, product owners, and your peers within the engineering team to ensure the successful delivery of solutions. Additionally, you will work with other technology teams that lead the up and down-streams solutions to coordinate dependencies.

WHO WE ARE LOOKING FOR

We seek passionate engineers to join our team. As a Senior AI/ML Engineer, you will influence and develop robust machine learning and generative AI solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. Sagemaker or DataBricks). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model.

To make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills:

Undergraduate degree in Computer Science, a Master's degree in a related engineering field, or equivalent experience
5+ years of professional experience in software engineering
3+ years of experience in the field of Machine Learning Engineering or related fields
Expertise in MLOps and an ability to articulate the role of MLOps in machine learning development life cycle from experimentation to production and measurement
Proficiency working in a team and mentoring others to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD
Familiarity with frameworks such as Scikit-learn, PyTorch, Tensorflow, Spark, FastAPI or similar platforms and frameworks
Expertise with cloud architecture and technologies, especially Amazon Web Services: ECR, SageMaker, Lambda, API Gateway
Familiarity with pipeline orchestration tools such as AirFlow or Databricks Workflows.
Expertise with data structures, data modeling and software architecture
Experience with complex data sets, ETL pipelines, SQL, and general data engineering
Expertise with Spark, Kubernetes, Docker, Jenkins, Databricks, or Terraform is highly desirable
Strong analytical mindset and experience leading others in problem solving
Expertise with agile development and test-driven development
Effective communication skills with team members, stakeholders, the business, and in code
Experience influencing technical strategy through all aspects of technical design and implementation
Proficiency providing technical leadership within a team and mentorship to others

WHAT YOU WILL WORK ON

If this is you, you’ll be working with the Corporate Functions Artificial Intelligence team at Nike focused on delivering AI capabilities for Nike’s corporate functions. With teammates globally distributed, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics, machine learning, and generative AI platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

What You Can Expect

OUR HIRING GAME PLAN

01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.

Apply Now

Refine Your Search

senior software engineer jobs in whitefield bengaluru karnataka

Senior Machine Learning Engineer, ITC

Senior Software Engineer - Front End

Senior Engineer (WFH, Backend & Full-Stack)

Senior Active Directory Engineer

Senior Product Engineer - AI Agents (Healthcare)

Senior Site Reliability Engineer (SRE) I

Software Engineer

Senior Software Engineer

Senior Engineering Manager, Backend

Senior Software Engineer- Core Platform, Moveworks

Senior Software Engineer

Engineering Manager - Product Tech

Senior Software Engineer I

Senior Data Engineer

Senior Software Engineer

Senior Frontend Engineer

Senior Software Engineer- BLR

Software Senior Engineer

Software Engineering Manager

Senior Software Engineer I

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OUR HIRING GAME PLAN

01 Apply

02 Meet a Recruiter or Take an Assessment

03 Interview

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