Remote Senior Machine Learning Engineer

Description:

• The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data.
• They use advanced statistical methods, algorithms, and data visualization techniques to transform raw data into actionable intelligence.
• The team drives decision-making across engineering, product development, and operational strategies.
• They constantly work on optimizing prediction models, identifying trends, and providing data-driven solutions that enhance operational efficiency and product quality.
• The Senior Machine Learning Engineer will solve complex data challenges and build ML solutions.
• The position requires strong foundational skills in ML engineering and data science.
• The engineer will design and deploy models that address diverse problems.
• While optimization experience is valuable, it is not mandatory for the role.
• Responsibilities include building and deploying scalable machine learning models, developing and maintaining end-to-end machine learning pipelines, collaborating with data scientists and engineers, analyzing and preprocessing data, and optimizing models for performance, scalability, and efficiency.

Requirements:

• Proven experience in machine learning engineering, including deployment and monitoring is required.
• Proficiency in Python and core data science skills such as clustering, classification, and regression is necessary.
• Knowledge of working with images and texts is a plus.
• Experience with cloud platforms and containerization tools, such as AWS and Docker, is required.
• Understanding of software engineering practices, including version control, testing, and CI/CD, is necessary.
• A background in mathematical programming, operational research, or optimization techniques is preferred.
• Experience with combinatorial optimization, linear programming, or mixed-integer programming is a plus.

Benefits:

• The position offers the opportunity to work remotely.
• Employees will be part of a team that is focused on driving innovation through data science.
• There are opportunities for professional growth and development within the company.
• The role allows for collaboration with talented data scientists and engineers in a dynamic environment.