ML Engineer (Data and ML Training Pipeline Engineer)

Brief Description

Design, develop, and maintain ML training and data pipelines.

Build and set up big data processing pipelines for large-scale AI/ML projects.

Work extensively on OCR, Computer Vision (with a focus on video), and NLP tasks.

Evaluate and benchmark multiple model versions across different datasets and generate performance reports.

Develop and optimize ML models in the vision domain, particularly for video data.

Generate and manage data in formats such as TFRecords, LMDB, or other similar formats.

Conduct data analysis, visualization, and cleaning to ensure high-quality input for model training.

Debug issues related to Python compilation, data reading, and model integration.

Preferred Skills

3–5 years of experience as an ML Engineer.

Strong proficiency in Python.

Hands-on experience with TensorFlow/Keras frameworks.

Expertise in ML pipeline development and big data processing.

Proven track record in OCR, Computer Vision (video), and NLP.

Experience in model evaluation, benchmarking, and reporting.

Strong skills in data visualization, cleaning, and analysis.

Problem-solving ability and a knack for debugging.Information Requested:Kindly mention Job code in the Subject line - MD/2025