Senior ML engineer

Avenga; Union, Northern (NJ, KY); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Avenga is seeking a Senior Machine Learning Engineer to join our team and develop accurate models of industrial equipment and system behavior, working with both experimental and observational data to iterate on ML approaches.

You will evaluate results and help turn successful experiments into production-ready solutions, applying strong Python and software engineering skills and collaborating with domain experts to translate industrial requirements into effective ML solutions.

Qualifications

• 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.

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 (“glue”) 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.

Skills

Machine Learning

Deep Learning

Python

Software Engineering

Experiment Design

Job description

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 (“glue”) 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.