Sr. AI/ML Engineer
Bengaluru, KA, IN
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, implement, train, test, and maintain a project through life cycle
Write documentation on data sources, model architecture, evaluation, and tool usage
From the employer’s posting
Automate MLOps into workflow and maintain CI/CD pipelines for all tools Design, implement, train, test, and maintain a project through life cycle Write documentation on data sources, model architecture, evaluation, and tool usage
Design, implement, train, test, and maintain a project through life cycle Write documentation on data sources, model architecture, evaluation, and tool usage Participate in code reviews and issue tracking
Education & alternatives
- Containerizing workflow and apps using Docker - Engineering, Computer Science, or Mathematics/Statistics degree and 8+ years of experience, or MS and 5+ years - Excellent oral and written communication skills
Tools in this posting
- Java
- Python
- NumPy
- pandas
- SQL
- C#
- JavaScript
- Docker
- scikit-learn
- PyTorch
- Keras
Source — Tool mentions in context
- Developing agents using OpenAI API, RAG, Langchain and writing code using Copilot/Cursor - Programming applications in Python, C#, Java, JavaScript - Containerizing workflow and apps using Docker
Required Experience and Skills - Creating data pipelines, including feature engineering, using NumPy, Pandas, and SQL - Training neural networks using PyTorch/Keras, and ML models using scikit-learn, and experience deploying ML models to production
- Programming applications in Python, C#, Java, JavaScript - Containerizing workflow and apps using Docker - Engineering, Computer Science, or Mathematics/Statistics degree and 8+ years of experience, or MS and 5+ years
- Creating data pipelines, including feature engineering, using NumPy, Pandas, and SQL - Training neural networks using PyTorch/Keras, and ML models using scikit-learn, and experience deploying ML models to production - Deep understanding of validating ML models and techniques to avoid overfitting
Job description
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high performance analog semiconductors whose solutions are powering the wireless networking revolution. At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management and the freedom to make meaningful contributions in a setting that encourages creativity and out-of-the-box thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together can change the way the world communicates.
Requisition ID: 76725
Description
Seeking a passionate, hands-on technical AI/ML engineer to join our growing team and solve exciting problems in the semiconductor space. You will help develop new AI-enabled applications, as well as incorporate AI/ML into our existing toolset.
#LI-DB1
The Role
The Software Engineering group in the Mobile Solutions Division develops a wide variety of internal applications to support the design, test, and performance analysis of leading-edge analog hardware devices for the Cellular/Mobile device industry. We work directly with all engineering disciplines within Skyworks and receive continuous feedback throughout the development cycle. This enables us to move quickly while keeping the success rate high for each project.
Development Efforts
- Company-wide solutions used across many Skyworks sites
- High-level automation for hardware testing and performance analysis
- Graphical data analysis tools, including plots, tables, and report generation
- Intellectual property (IP) tracking and management
- Flexible GUIs for complex feature sets, with an emphasis on ease of use
Responsibilities
- Train and validate ML models and incorporate AI/ML into existing software applications
- Collect, prepare, and transform unstructured data for machine learning tasks
- Automate MLOps into workflow and maintain CI/CD pipelines for all tools
- Design, implement, train, test, and maintain a project through life cycle
- Write documentation on data sources, model architecture, evaluation, and tool usage
- Participate in code reviews and issue tracking
Required Experience and Skills
- Creating data pipelines, including feature engineering, using NumPy, Pandas, and SQL
- Training neural networks using PyTorch/Keras, and ML models using scikit-learn, and experience deploying ML models to production
- Deep understanding of validating ML models and techniques to avoid overfitting
- Developing agents using OpenAI API, RAG, Langchain and writing code using Copilot/Cursor
- Programming applications in Python, C#, Java, JavaScript
- Containerizing workflow and apps using Docker
- Engineering, Computer Science, or Mathematics/Statistics degree and 8+ years of experience, or MS and 5+ years
- Excellent oral and written communication skills
- Ability to work in and thrive in a team environment
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers.skyworksinc.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, KA, IN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 27, 2026
- Recorded sightings
- 618
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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