Senior Machine Learning Engineer

Ola Electric is revolutionizing sustainable mobility in India with its range of electric scooters and charging infrastructure. As part of the Ola ecosystem, the company is building the world's largest two-wheeler factory and driving the EV revolution in India.

We're seeking a Senior Machine Learning Engineer to develop AI-powered solutions for battery optimization, predictive maintenance, and autonomous vehicle features. You'll work on cutting-edge ML problems that directly impact millions of customers and the future of electric mobility.

• Design and develop machine learning models for battery health prediction, range optimization, and charging recommendations
• Build computer vision and sensor fusion algorithms for advanced driver assistance features
• Implement real-time ML inference pipelines processing telemetry data from thousands of connected vehicles
• Collaborate with embedded systems and IoT teams to deploy models on edge devices and vehicle controllers
• Conduct experiments, analyze model performance, and iterate on algorithms to improve accuracy and efficiency
• Establish ML ops practices for model versioning, monitoring, and continuous improvement in production

• 6+ years of experience in machine learning engineering with proven track record of deploying ML models in production
• Strong expertise in Python, TensorFlow/PyTorch, and modern ML frameworks and libraries
• Experience with time-series forecasting, anomaly detection, or computer vision applications
• Knowledge of MLOps tools and practices including model deployment, monitoring, and A/B testing
• Understanding of embedded systems, IoT, or automotive technologies is highly desirable
• Strong mathematical foundation in statistics, optimization, and deep learning algorithms
• Master's or PhD in Computer Science, Machine Learning, or related field preferred

• Competitive package between ₹19L – ₹25L per annum
• Work on groundbreaking AI applications shaping the future of electric mobility in India
• Join a high-energy startup environment with opportunity to create significant impact
• Collaborate with talented engineers and researchers working on cutting-edge technology
• Access to ESOPs, comprehensive health benefits, and employee vehicle purchase programs

This opening is not listed on any public job portal. It is a verified internal opportunity exclusively accessible through the website careerjump.co.in and directly apply to this job role. They also have similar job openings posted daily on their website. You can also join their WhatsApp Community for daily updates on verified internal job openings.