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Junior ML Engineer (Computer Vision)

icon building Company : Maximl Labs
icon briefcase Job Type : Full Time

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Job Description - Junior ML Engineer (Computer Vision)

About the Role:
Maximl’s ML Engineering Team is looking to hire a Junior ML Engineer (Computer Vision) who can work with technical leadership within the team.
Key Responsibilities

·         Drive
research & innovation

 Stay abreast of the latest academic and
industry advances in computer vision, like - object detection, segmentation,
visual -language models, reasoning, OCR, video processing etc.—evaluate and
integrate promising new techniques.

·         Prototype
and validate new models

 Rapidly develop proof -of -concepts, run
thorough A/B experiments, and establish robust evaluation benchmarks to de -risk
technology choices before production.

·         Optimize
for production at scale

 Lead efforts to compress, quantize, and
accelerate models for cloud GPUs/TPUs and edge devices; integrate with CI/CD,
automated testing, and containerized MLOps frameworks.

·         Mentor
and coach engineers

 Provide technical leadership through code
reviews, design reviews, brown -bag talks, and best -practice guidelines; help
mid - and junior -level engineers grow their CV expertise and career.

·         Collaborate
cross -functionally

 Work closely with product engineering teams, solution
delivery, customer success and end customers to translate business requirements
into technical specs, ensure data quality and availability, and deliver
features that solve real customer safety -compliance problems.

·         Define
and enforce coding standards

 Establish style guides, testing protocols,
performance budgets, and documentation standards for CV projects; champion
reproducibility and clean, well -documented code.

·         Lead
technical architecture decisions

 Evaluate and select frameworks, libraries,
annotation tools, and compute infrastructure; balance trade -offs between
flexibility, performance, and cost.

·         Monitor
and improve model performance

 Set up monitoring dashboards and alerting for
model drift, accuracy regressions, and runtime failures; spearhead root -cause
analyses and continuous retraining strategies.



Requirements


  • 1 -2 years prior experience building,
    deploying and managing production -scale Computer Vision (CV) systems using
    modern deep learning models and MLOps tools and deployed on cloud
    infrastructure (AWS/GCP/Azure).

  • Has trained and deployed in production, computer vision models for
    use -cases like object detection, visual question answering, image
    classification, visual attribute extraction, text detection & extraction /
    OCR etc.

  • Practical experience working on model optimization for
    high -performance/low -cost inference for cloud GPUs.

  • Prior experience with multiple of the
    following: YOLO, TensorFlow, PyTorch, NVidia TensorRT, Triton Server etc

  • Experience optimizing models for
    mobile/edge devices.




Benefits

  • Flexible Working Hours 
  • Health Insurance
  • Accidental Insurance
  • Subsidized Food Options 
  • Unlimited Beverages


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About the Company

Maximl Labs

Maximl empowers deskless workers with collaboration tools to improve ​productivity, quality, and safety in the heavy industry.

Read more about the company

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