Technical Trainer AI ML (Part time / Training Partner)

Greytip Software Private Limited; Bengaluru; On-site; INR 558,000 - 781,200; Part time

Job summary

Greytip Software Private Limited is seeking a Technical Trainer for AI ML in Bengaluru, India. This part-time role involves designing and fine-tuning machine learning models, mentoring students on Capstone projects, and delivering offline training in partner colleges.

The candidate should have substantial experience in AI ML, proficiency in Python, SQL, and knowledge of Java or Scala. A solid understanding of data pipelines and MLOps is essential.

Qualifications

• Experience in teaching, training, and mentoring in AI ML.
• Proficiency in model development and deployment processes.
• Strong knowledge of data pipelines and MLOps.

Responsibilities

• Design, train, and fine-tune machine learning and deep learning models.
• Mentor Capstone projects for students.
• Deliver offline training in partner colleges.
• Optimize and maintain data pipelines.
• Integrate models into production environments and monitor performance.

Skills

Machine Learning

Deep Learning

Python

SQL

Java

Scala

C++

Julia

Job description

Technical Trainer AI ML (Part time / Training Partner)

Job ID - EB-1233

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