채용
Required Skills
Python
Machine Learning
Data Structures
Algorithms
Statistics
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.
This Position reports to:
Digital Solution Engineering Manager:
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.
This role is contributing to the Process Automation Business for Digital Division in Bangalore- Southfield, India
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 for the role:
- 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
More about us
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.
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.
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.
For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
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About ABB

ABB
PublicABB 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