Machine Learning Engineer

Company Description

TPI Systems is a deep tech company focused on advancing industrial intelligence. Through its flagship platform, TheProcessInsights, the company enables enterprises to move beyond surface-level analysis, providing actionable insights that drive operational control. By leveraging Causal Intelligence Engines, TPI Systems uncovers the underlying reasons behind industrial performance outcomes, empowering leaders to make decisions rooted in scientific certainty.

Combining expertise in process science, engineering, and applied mathematics, TPI Systems creates solutions that transform operational complexity into a competitive edge.

Role Description

This is a full-time on-site role for a Machine Learning Engineer, located in Vadodara. The engineer will be responsible for building scalable machine learning systems that integrate with causal inference models to support industrial intelligence applications.

Daily tasks include developing data pipelines, training and deploying models, and ensuring reliable real-time data processing. The role involves working closely with causal inference scientists and engineers to ensure that machine learning components align with causal frameworks and maintain interpretability and robustness in production environments.

Qualifications

Strong experience in Machine Learning, Data Engineering, and model deployment

Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar

Experience with building scalable data pipelines and real-time processing systems

Understanding of statistics and model evaluation techniques

Familiarity with causal inference concepts is a plus

Strong problem-solving and system design skills

Bachelors or Masters degree in Computer Science, Data Science, or related field

Ability to work on-site in a collaborative and fast-paced environment