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Machine Learning / Computer Vision Engineer (Contractor)

Machine Learning / Computer Vision Engineer (Contractor)

Infiswift TechnologiesKurnool, IN
3 hours ago
Job description

Note : This is a full-time contractor role, and we require that they do not take up any other employment while working with us.

Role Overview

We are seeking a highly skilled and motivated Machine Learning / Computer Vision Engineer to join our AI team. The core focus of this role will be the end-to-end development and deployment of deep learning models for advanced visual understanding. This includes a strong emphasis on Computer Vision tasks such as Object Detection, Semantic Segmentation, and Instance Segmentation . You will be responsible for translating cutting-edge research into robust, scalable, production-grade systems in a Python-centric environment.

Key Responsibilities

  • Model Design and Development : Research, design, implement, and optimize state-of-the-art deep learning models specifically for computer vision segmentation and object detection algorithms.
  • ML Lifecycle Management : Own the full machine learning lifecycle, from data collection and annotation to training, evaluation, validation, and production deployment.
  • Coding & Integration : Write clean, efficient, and well-documented production code in Python , utilizing key ML / CV libraries and frameworks.
  • System Integration : Collaborate with software and platform engineers to seamlessly integrate computer vision capabilities into our core products and infrastructure.
  • Performance Optimization : Evaluate model performance, benchmark speed and accuracy, and optimize models for inference latency and memory consumption on target hardware (cloud or edge).
  • Research & Innovation : Stay abreast of the latest academic and industry advancements in deep learning and computer vision to propose and implement innovative solutions.
  • Collaboration : Work closely with data scientists, software developers, and product managers to define requirements and deliver high-impact features.

Required Qualifications

  • Experience : A minimum of 3+ years of professional experience in a Machine Learning Engineer, Computer Vision Engineer, or similar role.
  • Programming : Strong proficiency in Python and its scientific computing stack (e.g., NumPy, Pandas).
  • Computer Vision : Proven practical experience with computer vision algorithms and deep learning techniques for Object Detection (e.g., YOLO, Faster R-CNN) and Segmentation (Semantic or Instance).
  • Deep Learning Frameworks : Expertise in at least one major deep learning framework ( PyTorch or TensorFlow / Keras ).
  • Tooling : Hands-on experience with computer vision libraries such as OpenCV .
  • Foundational Knowledge : Solid understanding of machine learning principles, neural network architectures (especially CNNs), and image processing fundamentals.
  • Education : Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical / quantitative field.
  • Proficiency in modern code management tools, especially Git.
  • Preferred Qualifications (Nice-to-Haves)

  • Experience with MLOps practices and tools (e.g., Docker, Kubernetes, experiment tracking, model serving).
  • Familiarity with cloud computing services (AWS, Google Cloud Platform, or Azure) for model training and deployment.
  • Experience in optimizing models for performance and size (e.g., quantization, pruning, use of TensorRT / ONNX).
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    Machine Learning Engineer • Kurnool, IN

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