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Sr Software Engineer- Model Validation

ABB

Sr Software Engineer- Model Validation

ABB

Bangalore, Karnātaka, India

·

On-site

·

Full-time

·

3w ago

Required Skills

Python

Machine Learning

Git

Docker

Kubernetes

PyTorch

TensorFlow

CI/CD

Data structures

Algorithms

Statistics

Sr Software Engineer

  • Industrial Automation Digital Organization

About ABB

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world.

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area (>$6B revenue in 2021, 22,000 employees), automates, electrifies and digitalizes some of the most complex industrial infrastructures on this planet. Through its five divisions, it serves customers in the energy, process and hybrid industries – from hydrocarbons, chemicals, water, mining, minerals, pulp & paper to marine and ports, and many more. PA stands at the heart of some of the most important shifts in society, helping the energy-intense industries to safer, smarter and more sustainable operations to enable a prosperous, low-carbon society.

Position Overview

Reports to: Digital Solution Engineering Manager

Location: Bangalore-Southfield, India

Business Unit: Process Automation Business for Digital Division

Your Role and Responsibilities

We are looking for a Sr software Engineer to join our Industrial Automation Digital Organization. The role requires one to responsible for AI/ML model validation, performance engineering, industrial data preparation, planning, automating simulation data and executing performance benchmark to deliver a product of the highest quality.

You will be mainly accountable for below:

  • Design and review test development frameworks for machine learning models
  • Work with ML engineers to make sure that functional & non-functional requirements are addressed
  • Establish and improve metrics collection and reporting
  • Incorporate research of industry trends and apply best practices in quality engineering practices used in evolving machine learning techniques
  • Set up reference data generation pipelines using various sensors for capturing ground truth data
  • Collect and maintain training and evaluation data based on the created test plans and test cases
  • Integrate new data into existing ML models to track performance improvements

Qualifications

  • Bachelor/Master's degree in computer science or equivalent from premier institutes
  • Overall 8+ Years of experience with expertise in below:
  • 5+ years of experience with Python along with exposure to Git, Docker, Kubernetes, Helm, Kubectl
    • Exposure to Workflow orchestrations tools like Apache Airflow, Prefect, Meta Flow, Luigi
    • Machine learning frameworks e.g., Py Torch, Tensor Flow, ONNX
    • Exposure to Model serving in ML and working with frameworks like Tensor Flow Serving, Torch Serve, KFServing, Seldon, BentoML etc.
    • Understanding of machine learning techniques, data structures, algorithms, statistics
    • Expertise in developing automation pipelines & frameworks for verification of machine learning models
    • Experience setting up automated CI / CD environments (e.g., Git, Kubernetes) and ML content management systems (e.g., Supervisory)

Nice To Have

  • Experience in Microsoft Azure ML platform
  • Microsoft Azure Certifications

Why ABB

We Care

At ABB, we care about our people and their stories. We create safe, fair, equitable and inclusive working environments in which our people can succeed and develop, regardless of gender, ethnicity, sexual orientation or cultural, religious or social background. Diverse teams make us stronger. ABB is also committed to a high standard of integrity in everything we do.

We Grow

We help our people succeed and develop, and we empower them to create their own careers at ABB. Our benefits, reward and development programs encompass a wide array of offerings.

Working at ABB gives you the opportunity to contribute to a healthier and more prosperous world. Add to your story by joining a passionate team, focused on pushing the boundaries of technology to drive performance, shape new business models and find new ways of working that benefit our customers, partners and society. We want you to be proud of being part of ABB.

How to Apply

Do you want to shape the future, together with us? Get more insights into our recruitment process and find some helpful tips and tricks how to join the team. Make our story your story.

For current open positions you can visit our career website https://global.abb/group/en/careers and apply.

Important Notice

Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

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About ABB

ABB

ABB

Public

ABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.

10,001+

Employees

Zurich

Headquarters

Reviews

3.5

3 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Award ceremonies and achievement recognition

Professional experience opportunities

Relevant marketing and writing experience

Cons

Awards only recognize sales and leadership teams

Auxiliary departments excluded and understaffed

No cost of living raises provided

Salary Ranges

405 data points

Mid/L4

Senior/L5

Mid/L4 · Project Manager

102 reports

$117,433

total / year

Base

$109,179

Stock

-

Bonus

$8,254

$79,130

$175,443

Interview Experience

5 interviews

Difficulty

3.8

/ 5

Duration

14-28 weeks

Offer Rate

20%

Experience

Positive 0%

Neutral 60%

Negative 40%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

System Design/Panel Interview

5

Onsite/Final Round

6

Offer Decision

Common Questions

Technical Knowledge

System Design

Behavioral/STAR

Past Experience

Problem Solving