Industrial ML Engineer: Production-Ready Models

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

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.