Maximl Labs Private Limited | Full time

Junior ML Engineer (Computer Vision)

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Job Information

• Date Opened 12/26/2025

• Industry IT Products

• Job Type Full time

• Work Experience 1-2 years

• City Bangalore North

• State/Province Karnataka

• Country India

• Zip/Postal Code 560038

Job Description

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.

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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