Technical Trainer AI ML (Part time / Training Partner)

Edubridge Learning; Mumbai; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Edubridge Learning is seeking a skilled ML/AI educator to design, train, and refine machine learning models, mentor Capstone projects, and conduct offline training at partner colleges. You will build robust data pipelines, integrate models into production, and monitor performance across accuracy, latency, and scalability.

Strong emphasis on Python and ML libraries and experience in teaching is required. The role involves hands-on model development, data handling, and collaboration with academic

Qualifications

• Experience in teaching, training and mentoring.
• Proficiency in Python and ML libraries.
• Familiarity with data pipelines and model deployment.

Responsibilities

• Design, train, and fine-tune ML/DL models to solve business problems.
• Mentor Capstone projects for students.
• Deliver offline training at partner colleges.
• Build data pipelines to collect, clean, and feed data to models.
• Deploy models in production and monitor performance (accuracy, latency).
• Conduct experiments, A/B testing, and monitor scalability post-deployment.

Skills

Python

SQL

Java & Scala

C++ / Julia

Tools

PyTorch

TensorFlow

Scikit-Learn

Job description

Key Responsibilities

• Model Development: Design, train, and fine-tune machine learning and deep learning models to solve specific business problems.
• Capstone Project: Handle and mentor Capstone projects for students
• Offline Delivery: Offline training delivery to be done in partner colleges.
• Data Pipelines: Construct, optimize, and maintain data pipelines to collect, clean, and feed raw data into models.
• Deployment & MLOps: Integrate models into production environments and ensure they run efficiently at scale.
• Evaluation: Conduct experiments, A/B testing, and monitor model performance (accuracy, latency, and scalability) post-deployment
• AI ML: Experience in teaching, training and mentoring
• Python: The undisputed industry standard. Required for its robust libraries (e.g., PyTorch, TensorFlow, Scikit-Learn) and data handling.
• SQL: Essential for querying relational databases and preparing training data.
• Java & Scala: Often utilized for large-scale enterprise data processing pipelines (like Apache Spark).
• C++ / Julia: Occasionally required for roles focused on intense computational performance, research, and deep learning simulation

PyTorch Foundation

PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.

Offline training to be conducted in partner colleges.

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