# Junior ML Engineer (Computer Vision)

## Summary
- Organization: Maximl
- Location: India
- Type: Full-Time
- Department: N/A
- Status: active
- Posted: [object Object]
- Updated: [object Object]
- Closing Date: N/A
- External Apply: Yes
- External Apply URL: https://maximl.zohorecruit.in/jobs/Careers/65263000006394057

## Details
- Salary: N/A
- Experience: 1-2
- Education: N/A
- Team: N/A
- Reporting To: N/A

## Description
**About this Opportunity**

**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 proofs-of-concept, run thorough A/B experiments, and establish robust evaluation benchmarks to de-risk technology choices before production.

**Optimise for production at scale**

 Lead efforts to compress, quantise, and accelerate models for cloud GPUs/TPUs and edge devices; integrate with CI/CD, automated testing, and containerised 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 optimisation 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 optimising models for mobile/edge devices.

**- Location in-office (Bengaluru, India)**

**Benefits**

- Flexible Working Hours 
- Health Insurance
- Accidental Insurance
- Subsidised Food Options 
- Unlimited Beverages

## Responsibilities
None

## Skills
- ComputerVision
- DeepLearning
- Azure
- GCP
- AWS
- YOLO
- TensorFlow
- PyTorch
- NVidiaTensorRT
- TritonServer

## Tags
None

## Organization
- Name: Maximl
- Website: https://maximl.com
- Industry: Software Development
- Size: 51-200 employees
- Founded Year: N/A
- Description: Maximl is an Industrial AI Platform for Maintenance & Safety for large enterprises in Energy, Metals and Chemicals verticals.

Maximl supercharges decisions for knowledge workers through Agentic AI and user-centric design. Our platform hosts a suite of mobile-first solutions including Daily Maintenance, Shutdowns/Turnarounds and Control of Work [CoW] that are enabled with no-code customisation capabilities for quick implementation of complex enterprise workflows integrated with ERP.

Over the last 7 years, Maximl has completed 50+ deployments sites across Asia, Europe and LATAM. Some of the largest industrial enterprises including Reliance Industries, Indian Oil, BPCL, HPCL, Hindustan Zinc, Cairn and Tata Steel have collaborated with Maximl to measurably move the needle on downtime, and safety risk. 

We are backed by some of leading investors and partners including Nexus Venture Partners, Axilor Ventures, Trifecta Capital, Stanford Seed, Bharat Petroleum Startup Fund, Shell E4 and IIT Madras Incubation Cell.