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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
AI Engineering
- EU Countries
- Fully Remote
Your journey matters β 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.
- Experience with A/B testing and experimentation.
- Experience with recommender systems or related ML domains.
- Experience in industrial software, industrial engineering, or industrial applications.
- 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 (βglueβ) 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.
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
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 isnβt 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 β 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 β itβs a chance for everyone to align and get to know each other better.
JOB OFFER
If we both feel itβs the right match, we will send you an offer to join us. And even if itβs not the time just yet, youβll always hear back from us.
WELCOME!
Your new team is excited to meet you, support you, and build something great together. Letβs 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
Your journey matters β 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.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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.
- Experience with A/B testing and experimentation.
- Experience with recommender systems or related ML domains.
- Experience in industrial software, industrial engineering, or industrial applications.
- 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 (βglueβ) 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.
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 isnβt 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 β 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 β itβs a chance for everyone to align and get to know each other better.
If we both feel itβs the right match, we will send you an offer to join us. And even if itβs not the time just yet, youβll always hear back from us.
Your new team is excited to meet you, support you, and build something great together. Letβs make your first day the start of a journey that shapes a career that matters.
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