A

Senior Machine Learning Engineer

Remote
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AI Summary

Develop accurate models of industrial equipment and system behavior. Work with experimental and observational data, iterating on ML approaches, evaluating results, and helping turn successful experiments into production-ready solutions. Strong experience in Machine Learning / Deep Learning and practical model development required.

Key Highlights
Develop accurate models of industrial equipment and system behavior
Work with experimental and observational data
Iterate on ML approaches and evaluate results
Key Responsibilities
Preprocess, clean, harmonize, and prepare datasets for machine learning models
Select, adapt, and potentially combine existing deep learning architectures to meet project goals
Develop the necessary supporting infrastructure and integration around ML models
Technical Skills Required
Machine Learning Deep Learning Python
Benefits & Perks
Equal opportunities in recruitment, career development, and leadership
Remote work
Flexible work arrangement
Nice to Have
A/B testing and experimentation
Recommender systems or related ML domains
Industrial software, industrial engineering, or industrial applications

Job Description


AI Engineering

  • EU Countries
  • Fully Remote

Senior ML engineer

Your journey matters โ€“ start it with us

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

We are looking for a Senior Machine Learning Engineer to join our team and work on developing accurate models of industrial equipment and system behavior.

You will work with both experimental and observational data, iterating on ML approaches, evaluating results, and helping turn successful experiments into production-ready solutions.

This is you

  • Strong experience in Machine Learning / Deep Learning and practical model development.
  • Experience working with real-world datasets, including data preprocessing and harmonization.
  • Solid understanding of deep learning architectures and the ability to adapt existing models to specific use cases.
  • Experience designing and evaluating ML experiments.
  • Strong Python and software engineering skills.

Nice-to-have Skills:

  • Experience with A/B testing and experimentation.
  • Experience with recommender systems or related ML domains.
  • Experience in industrial software, industrial engineering, or industrial applications.

This is your role

  • Preprocess, clean, harmonize, and prepare datasets for machine learning models.
  • Select, adapt, and potentially combine existing deep learning architectures to meet project goals.
  • Develop the necessary supporting infrastructure and integration (โ€œglueโ€) around ML models.
  • Leverage LLMs to accelerate development and implementation where appropriate, including supervising LLM-generated solutions.
  • Design and run experiments to evaluate model performance and identify the most effective approaches.
  • Document experiments, results, and learnings to support decision-making and define the final production solution.
  • Collaborate with engineering and domain experts to translate industrial requirements into effective ML solutions.

What awaits you at Avenga?

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Department AI Engineering Locations EU Countries Remote status Fully Remote Technology AI Seniority Senior-level

Your way in starts here

APPLICATION

Send us your application, we are ready to hear your story and explore how we can grow together.

REVIEW

Our team carefully reviews every application with curiosity and care. If your profile isnโ€™t the right fit today, we will keep it in mind for future opportunities that match your skills and ambitions.

TALENT ACQUISITION INTERVIEW

You will meet our Talent team to talk about your goals and learn more about who we are, what we offer, and how we support our people.

TECHNICAL INTERVIEW

Our tech interview is all about diving deeper into your expertise and understanding your strengths, how you solve problems, and how you think โ€“ no trick questions, just a meaningful conversation.

CUSTOMER INTERVIEW

For some roles, especially when our clients are closely involved, you might also have a conversation with them โ€“ itโ€™s a chance for everyone to align and get to know each other better.

JOB OFFER

If we both feel itโ€™s the right match, we will send you an offer to join us. And even if itโ€™s not the time just yet, youโ€™ll always hear back from us.

WELCOME!

Your new team is excited to meet you, support you, and build something great together. Letโ€™s make your first day the start of a journey that shapes a career that matters.

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AI Engineering

  • EU Countries
  • Fully Remote

Senior ML engineer

Your journey matters โ€“ start it with us

Loading application form

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

We are looking for a Senior Machine Learning Engineer to join our team and work on developing accurate models of industrial equipment and system behavior.

You will work with both experimental and observational data, iterating on ML approaches, evaluating results, and helping turn successful experiments into production-ready solutions.

This is you

  • Strong experience in Machine Learning / Deep Learning and practical model development.
  • Experience working with real-world datasets, including data preprocessing and harmonization.
  • Solid understanding of deep learning architectures and the ability to adapt existing models to specific use cases.
  • Experience designing and evaluating ML experiments.
  • Strong Python and software engineering skills.

Nice-to-have Skills:

  • Experience with A/B testing and experimentation.
  • Experience with recommender systems or related ML domains.
  • Experience in industrial software, industrial engineering, or industrial applications.

This is your role

  • Preprocess, clean, harmonize, and prepare datasets for machine learning models.
  • Select, adapt, and potentially combine existing deep learning architectures to meet project goals.
  • Develop the necessary supporting infrastructure and integration (โ€œglueโ€) around ML models.
  • Leverage LLMs to accelerate development and implementation where appropriate, including supervising LLM-generated solutions.
  • Design and run experiments to evaluate model performance and identify the most effective approaches.
  • Document experiments, results, and learnings to support decision-making and define the final production solution.
  • Collaborate with engineering and domain experts to translate industrial requirements into effective ML solutions.

What awaits you at Avenga?

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Send us your application, we are ready to hear your story and explore how we can grow together.

Our team carefully reviews every application with curiosity and care. If your profile isnโ€™t the right fit today, we will keep it in mind for future opportunities that match your skills and ambitions.

You will meet our Talent team to talk about your goals and learn more about who we are, what we offer, and how we support our people.

Our tech interview is all about diving deeper into your expertise and understanding your strengths, how you solve problems, and how you think โ€“ no trick questions, just a meaningful conversation.

For some roles, especially when our clients are closely involved, you might also have a conversation with them โ€“ itโ€™s a chance for everyone to align and get to know each other better.

If we both feel itโ€™s the right match, we will send you an offer to join us. And even if itโ€™s not the time just yet, youโ€™ll always hear back from us.

Your new team is excited to meet you, support you, and build something great together. Letโ€™s make your first day the start of a journey that shapes a career that matters.

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