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.
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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
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
• Ability to work on-site in a collaborative and fast-paced environment
