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Machine Learning Engineer (Computer Vision)
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Machine Learning Engineer (Computer Vision)
Peak Hire Solutions's logo

Machine Learning Engineer (Computer Vision)

at AI-Powered Platform

Agency job
5 - 10 yrs
₹35L - ₹45L / yr
Remote only
Skills
skill iconMachine Learning (ML)
skill iconPython
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Scikit-Learn
Computer Vision
PyTorch
NumPy
pandas
Data processing
Hugging Face Transformers
TensorFlow
skill iconDocker
skill iconKubernetes
skill iconDeep Learning

Budget: 35 LPA to 45 LPA

Work schedule is Mon to Fri, 3:30am to 12:30pm IST


Key Responsibilities:

  • Design, develop, and deploy computer vision and machine learning models for analyzing visual and document-based data.
  • Build pipelines that convert unstructured visual inputs into structured and usable information.
  • Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
  • Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
  • Work with large datasets and build efficient training and evaluation pipelines.
  • Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
  • Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
  • Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
  • Continuously improve model performance, accuracy, and robustness in real-world environments.
  • Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate.
  • Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows.


Requirements:

  • 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding.
  • Strong proficiency in Python for machine learning and data processing.
  • Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem.
  • Experience with computer vision tooling such as OpenCV.
  • Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas.
  • Experience developing models for tasks such as segmentation, object detection, or document analysis.
  • Experience working with large image datasets and building training pipelines.
  • Solid understanding of model evaluation, data preprocessing, and performance optimization.
  • Strong problem-solving skills and ability to work in a fast-paced product environment.
  • Ability to collaborate effectively with cross-functional engineering and product teams.
  • The candidate should be based in India
  • Willing to work remotely full-time
  • Work schedule is Mon to Fri, 3:30am to 12:30pm IST


Preferred Qualifications:

  • Experience with TensorFlow or other deep learning frameworks.
  • Experience working with OCR pipelines or document analysis systems.
  • Experience deploying machine learning models in production environments.
  • Experience with containerized deployments such as Docker or Kubernetes.
  • Experience working with complex technical documents, diagrams, or structured visual data.
  • Familiarity with spatial or geometry-related data problems.
  • Experience with libraries such as Detectron2, MMDetection, or similar.
  • Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling).
  • Contributions to open-source ML or computer vision projects are a plus.


Additional Information:

  • The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions.
  • Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built.


Benefits:

  • Flexible remote work opportunities with career development opportunities
  • Engagement with a supportive and collaborative global team
  • Competitive market based salary
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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