Homeoffice Lead Engineer / Team Lead - Machine Learning na Prodapt

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A Great Place To Work Certified company, Prodapt employs over 6,000 technology and domain experts in 30+ countries. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

We are seeking a skilled and experienced Lead ML Engineer to join our team.

Lead the end-to-end design, development, and deployment of machine learning solutions addressing telecom industry challenges. Mentor engineering teams while driving integration of telecom domain expertise into ML projects focused on wireline, wireless, real-time network analysis, churn, and emerging telecom technologies.

• • Lead ML project delivery including data collection, feature engineering, model development, and production deployment for telecom applications.  
  • Architect scalable ML systems optimized for processing large volumes of telecom data (sites, interfaces, NQES, SINR).  
  • Mentor junior engineers on ML best practices, telecom domain specifics, and large-scale system design.  
  • Collaborate with data scientists, product managers, and business teams to align ML projects with telecom business goals.  
  • Enforce coding standards, testing, and documentation in telecom ML workflows.  
  • Research and incorporate latest telecom trends and technologies into ML systems.

• - Extensive experience with ML frameworks (TensorFlow, PyTorch) and distributed data platforms (Spark, Hadoop) in telecom contexts.  
• - Strong leadership and project management experience managing telecom-focused ML teams.  
• - Expertise in cloud ML services (AWS SageMaker, GCP AI Platform) and container orchestration (Kubernetes).  
• - Deep understanding of telecom domain concepts and ability to translate them into scalable ML architectures.  
• Composer, Data Proc over GCP, Vertex.AI, BigQuery, Teradata
• Understanding H2O is a plus