Machine Learning Engineer (Automotive)

Tekpillar; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekpillar in Bengaluru seeks a Machine Learning Engineer (ADAS/AV) with 2+ years of hands-on experience to design, train, and optimize perception systems.

You'll work on deep learning models for object detection and depth estimation, implement ML pipelines, validate algorithms, and collaborate with software teams to deliver robust autonomous vision solutions.

Qualifications

• Develop and optimize ML-based ADAS/AV perception solutions.
• Train and fine-tune deep learning models for object detection, tracking, segmentation, and depth estimation.
• Work on camera geometry, Kalman filters, and state estimation.
• Build ML pipelines for simulation and large-scale video/sensor data processing.
• Develop validation frameworks, automated tests, and performance metrics.
• Debug perception algorithms and improve model performance.
• Collaborate with cross-functional teams using software engineering best practices.

Responsibilities

• Develop and optimize ML-based ADAS/AV perception solutions.
• Train and fine-tune deep learning models for object detection, tracking, segmentation, and depth estimation.
• Work on camera geometry, Kalman filters, and state estimation.
• Build ML pipelines for simulation and large-scale video/sensor data processing.
• Develop validation frameworks, automated tests, and performance metrics.
• Debug perception algorithms and improve model performance.
• Collaborate with cross-functional teams using software engineering best practices.

Skills

Python

PyTorch

Machine Learning

Computer Vision

ADAS/AV

Job description

Job Title: Machine Learning Engineer (ADAS/AV)
Experience: 2+ Years

Location: Bangalore

Key Skills: Python, PyTorch, Machine Learning, Computer Vision, ADAS/AV

Roles & Responsibilities

• Develop and optimize ML-based ADAS/AV perception solutions.
• Train and fine-tune deep learning models for object detection, tracking, segmentation, and depth estimation.
• Work on camera geometry, Kalman filters, and state estimation.
• Build ML pipelines for simulation and large-scale video/sensor data processing.
• Develop validation frameworks, automated tests, and performance metrics.
• Debug perception algorithms and improve model performance.
• Collaborate with cross-functional teams using software engineering best practices.