ARQA SOLUTIONS
Machine Learning Engineer
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Company Description
ARQA AI Solutions develops and deploys AI technologies for energy-intensive industries, enabling plants to operate more intelligently, efficiently, and with reduced carbon emissions. The company focuses on transforming industrial data into actionable insights that drive better decisions, lower operational costs, and continuous process optimization. Team members work at the intersection of artificial intelligence and industrial operations, contributing directly to measurable sustainability and performance improvements. ARQA AI Solutions offers opportunities to work with complex real-world data and cutting-edge AI methods in a mission-driven environment.
Role Description
The Machine Learning Engineer role is a full-time remote position focused on designing, building, and maintaining ML models that improve industrial plant performance and reduce energy use and emissions. In this role, you will:
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- Analyze large-scale industrial datasets
- Develop and train models such as pattern recognition and neural network-based systems
- Implement algorithms for real-time process optimization
- Collaborate with data scientists, software engineers, and domain experts to integrate ML solutions into production environments
- Monitor their performance over time
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Daily tasks include experimenting with new techniques, refining existing models, documenting methods and results, and contributing to scalable, reliable ML pipelines.
Qualifications
- Strong foundation in Computer Science and Algorithms, with experience implementing efficient and scalable solutions.
- Proficiency in Pattern Recognition and Neural Networks, including model design, training, and evaluation.
- Solid understanding of Statistics and probabilistic methods for analyzing data and validating models.
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing tools.
- Programming skills in languages commonly used for ML (such as Python), and familiarity with version control and software engineering best practices.
- Ability to work independently in a remote setting, collaborate effectively in cross-functional teams, and communicate complex technical concepts clearly.
- Experience with industrial or energy-sector data, or interest in sustainability and process optimization, is beneficial.
- Bachelor’s or higher degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
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