Machine Learning Engineer

About the role

We leverage state-of-the-art Deep Learning, Generative AI, and Computer Vision to drive efficiency, safety, and operational excellence. As a Machine Learning Engineer, you will be a key contributor to building the models and pipelines that power our industrial contextualization platform.

What you'll do

• Build, test, and maintain robust data pipelines for large-scale industrial datasets
• Assist in deploying data science prototypes to production
• Write high-quality, testable Python code, primarily creating RESTful/gRPC APIs for ML capabilities
• Containerize applications (Docker) and navigate Linux to handle massive volumes of unstructured industrial data
• Run experiments, fine-tune existing foundational models (NLP, Vision-Language), and evaluate ML libraries to enhance document parsing and entity matching

What you need

• 3–6 yrs of experience
• Machine learning
• Python
• SQL
• Pandas
• Computer vision
• MLOps
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• PyTorch
• TensorFlow
• Spark
• Linux
• Data structures