Senior Machine Learning Engineer

Petals Careers Private Limited; Hyderabad; On-site; INR 350,000 - 700,000; Full time

Job summary

Petals Careers Private Limited is seeking a Senior Machine Learning Engineer with 8+ years of experience to join our Machine Learning team working on cutting-edge computer vision challenges, including object detection, image segmentation, and 3D reconstruction.

The role demands a research-oriented mindset, production-ready ML solutions, and collaboration with cross-functional teams to deploy scalable CV systems and optimize pipelines.

Qualifications

• 8+ years of hands-on experience in machine learning and computer vision.
• Proven experience building and deploying production-grade ML models.

Responsibilities

• Design and develop machine learning models for object detection, image segmentation, and 3D reconstruction.
• Build, optimize, and maintain large-scale computer vision pipelines.
• Collaborate with engineering teams to deploy ML models into production.
• Research, evaluate, and implement state-of-the-art computer vision techniques.
• Improve existing codebases with clean, efficient, and maintainable code.
• Debug complex ML systems and optimize model performance.
• Communicate technical findings and solutions effectively across teams.

Skills

Python

Obj Det

Segmentation

3D Vision

ML Pipelines

Git

Debugging

Tools

PyTorch

TensorFlow

OpenCV

NumPy

COLMAP

SLAM

Job description

Role Overview

We are seeking a Senior Machine Learning Engineer with 8+ years of experience to join our Machine Learning team. You will work on advanced computer vision challenges, including object detection, image segmentation, and 3D reconstruction. This role requires strong technical expertise, a research-oriented mindset, and the ability to build and optimize production-ready ML solutions.

You will collaborate with cross-functional teams, improve existing ML pipelines, and contribute to the development of scalable, high-performance computer vision systems.

Responsibilities

• Design and develop machine learning models for object detection, image segmentation, and 3D reconstruction.


• Build, optimize, and maintain large-scale computer vision pipelines.


• Collaborate with engineering teams to deploy ML models into production.


• Research, evaluate, and implement state-of-the-art computer vision techniques.


• Improve existing codebases with clean, efficient, and maintainable code.


• Debug complex ML systems and optimize model performance.


• Communicate technical findings and solutions effectively across teams.

Experience

• 8+ years of hands-on experience in Machine Learning and Computer Vision.


• Proven experience building and deploying production-grade ML models.

Technical Skills

• Strong proficiency in Python.


• Experience with PyTorch, TensorFlow, OpenCV, NumPy, and related ML frameworks.


• Hands-on experience with object detection and image segmentation techniques.


• Strong understanding of 3D vision concepts such as SfM, MVS, SLAM, COLMAP, or similar.


• Experience with large-scale data processing and ML pipeline optimization.


• Strong debugging, problem-solving, and code optimization skills.


• Experience with Git and collaborative software development workflows.

(Python) AND (PyTorch OR TensorFlow) AND ("Computer Vision") AND ("Object Detection" OR YOLO OR Faster R-CNN OR DETR) AND ("Image Segmentation" OR "Semantic Segmentation" OR "Instance Segmentation")

Skills

• Strong analytical and problem-solving abilities.


• Research-oriented mindset with a passion for learning new technologies.


• Excellent written and verbal communication skills.


• Ability to work effectively in cross-functional teams.

Nice to Have

• Experience working with large-scale image or video datasets.


• Contributions to open-source projects, publications, or GitHub repositories.


• Experience with code reviews and collaborative engineering practices.