Remote Staff Machine Learning Engineer

Description:

• The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data.
• This team uses advanced statistical methods, algorithms, and data visualization techniques to transform raw data into actionable intelligence.
• The insights drive decision-making across engineering, product development, and operational strategies.
• The team constantly works on optimizing prediction models, identifying trends, and providing data-driven solutions that enhance operational efficiency and product quality.
• The Staff Machine Learning Engineer will lead the development of scalable and innovative ML solutions.
• Responsibilities include architecting and developing ML systems, leading model development, providing technical leadership, ensuring productionization of ML systems, staying updated on ML trends, and writing and reviewing code.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field is required; a PhD is a plus.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn is necessary.
• Experience in evaluating machine learning models in production is required.
• Familiarity with data processing frameworks and tools like Spark, Dask, Pandas, and Polars is essential.
• A solid understanding of MLOps principles and tools, including Docker, Kubernetes, and model versioning, is required.
• Familiarity with cloud platforms such as AWS, GCP, or Azure is necessary.
• The candidate must have a proven ability to translate business problems into technical solutions using machine learning.
• Strong communication and collaboration skills are essential, with the ability to articulate complex technical concepts to diverse audiences.

Benefits:

• The position offers the opportunity to work in a dynamic and innovative environment focused on machine learning and data science.
• Employees will have the chance to lead and mentor engineering teams, contributing to the strategic direction of AI/ML initiatives.
• The role allows for continuous learning and staying updated on the latest trends and research in machine learning and artificial intelligence.
• Employees will be part of a team that directly impacts the operational efficiency and product quality of the company.