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AI-ML R&D Engineer - CDD f/m

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Ansys

3mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Engineering
  • Lyon

AI generated summary

  • You should have a BS in Engineering/Computer Science, AI/ML experience with Python, and knowledge of signal processing. Familiarity with Windows tools, good communication, and quick learning are essential.
  • You will adapt data pre-processing code, annotate data, perform data augmentation, train models, provide feedback, and follow best practices under close supervision from an ML engineer.

Requirements

  • BS in Engineering, Computer Science, or related field
  • Experience in AI/machine Learning and python, with Jupyter, TensorFlow/keras, scikit-learn
  • Familiarity with development under tools under Windows OS, VS Code, git, AzureDevOps
  • Proposes and implements novel solutions, think "outside the box" and let your ideas be known
  • Knowledge in signal processing and acoustics
  • Experience Basic understanding of the software development process
  • Good communication and interpersonal skills
  • Ability to learn quickly and to collaborate with others in a geographically distributed team

Responsibilities

  • Adapting the data pre-processing code to another specific case
  • Annotating data using tools available within our team
  • Performing data augmentation
  • Training the model, providing critical feedback on the obtained results and possibly execute several training runs
  • Learns and employs best practices
  • Works under the close supervision of a ML engineer

FAQs

What is the duration of the contract for this position?

The contract for this position is for 4 months.

What kind of projects will the AI-ML R&D Engineer work on?

The AI-ML R&D Engineer will work on a machine learning model dedicated to anomaly detection in audio recordings, focusing on sound component analysis, extraction, and synthesis.

What educational qualifications are required for this role?

A BS in Engineering, Computer Science, or a related field is required for this role.

What programming languages and tools should the candidate be familiar with?

Candidates should have experience in AI/machine learning and Python, with familiarity in tools such as Jupyter, TensorFlow/Keras, scikit-learn, and development tools under Windows OS like VS Code, git, and AzureDevOps.

Will the candidate work independently or under supervision?

The candidate will work under the close supervision of a Machine Learning engineer.

Is knowledge in signal processing and acoustics preferred?

Yes, knowledge in signal processing and acoustics is preferred for this role.

What type of skills are emphasized for this position?

Good communication and interpersonal skills, along with the ability to learn quickly and collaborate with a geographically distributed team are emphasized.

What is Ansys's commitment to diversity and inclusion?

Ansys is committed to creating and nurturing a workplace that values diversity, inclusion, equity, and belonging, welcoming people of all backgrounds and experiences.

What are the main responsibilities of the AI-ML R&D Engineer?

Main responsibilities include adapting data pre-processing code, annotating data, performing data augmentation, training the model, and providing feedback on results.

How does Ansys view innovation in the workplace?

Ansys believes that diverse thinking leads to better outcomes and fuels innovation, and they encourage employees to propose and implement novel solutions that think "outside the box."

Take A Leap Of Certainty

Technology
Industry
1001-5000
Employees
1970
Founded Year

Mission & Purpose

ANSYS is a leading engineering simulation software company that enables engineers and designers to simulate and analyse complex physical phenomena across various industries, including aerospace, automotive, healthcare, and electronics. Their ultimate mission is to help customers design and create innovative products while reducing costs and time-to-market through simulation-driven product development. ANSYS' purpose is to provide cutting-edge simulation solutions and services that empower engineers to solve real-world engineering challenges, optimise designs, and make data-driven decisions, ultimately driving innovation and advancement in engineering practices in the UK and globally.

Culture & Values

  • Adaptability

    Be Open, Welcome what's next, Our business is constantly evolving. We stay agile by keeping our minds open, embracing change, and always learning,

  • Courage

    Be Courageous, Move forward passionately Our growth is unconstrained. We pursue new ideas, find unconventional solutions, and make decisions with courage, compassion, and resilience.

  • Generosity

    Be Generous, Share, listen, serve We give our time, resources, and knowledge for the betterment of all. We serve each other, our customers, partners, and communities with humility.

  • Authenticity

    Be You Make us stronger Our diverse perspectives solve problems. We grow as a team by empowering each other and respecting our individual strengths and differences.

Benefits

  • Competitive salaries plus pay-for-performance annual cash and equity incentives plans

  • Defined contribution retirement plans supported by Ansys and employee contributions

  • Time off to volunteer and charitable giving to help your community grow

  • Extensive benefits include wellness programs, supporting a healthy lifestyle

  • Flexible work arrangements and paid time off to manage work and life