Devsinc

Global IT services and enablement provider

Software Engineer - AI/ML

Computer VisionConfirmed live in the last 24 hours

Full-timeLahore, Punjab, PakistanNo salary listedIn-person

About the Job

Requirements

A Bachelor's degree in Computer Science or Artificial Intelligence is required.
At least 3 years of relevant software engineering, Machine Learning, or Computer Vision experience is required.
Strong Python programming skills and hands-on PyTorch experience are required.
Experience training image segmentation or Computer Vision models is required.
Understanding of model training, validation, evaluation, and inference workflows is required.
Familiarity with data loaders, mixed precision training, checkpointing, and GPU-based training is required.
Understanding of video- or image-based datasets and good practices for separating training and test data is required.
Experience or familiarity with AWS, cloud GPU environments, object storage, and Docker is required.
Understanding of production Machine Learning inference and performance optimization is required.
Strong software engineering fundamentals, including testing, version control, reproducible configurations, and continuous integration, are required.
Strong verbal and written communication skills are required.
Confidence participating in client meetings and technical discussions is required.
Ability to explain technical topics clearly, ask appropriate questions, and communicate blockers or risks proactively is required.
Ability to discuss experiments, model results, implementation decisions, and tradeoffs directly with the client is required.

Responsibilities

Train and improve multi-label medical image segmentation models using PyTorch.
Work with ultrasound video datasets and clinician-annotated medical imaging data.
Run experiments addressing class imbalance, overlapping anatomy, small or thin targets, and temporal context.
Build and improve evaluation pipelines with per-label, frame-level, and event-level metrics.
Validate models using patient-level test splits and clinician review.
Optimize inference for real-time video processing, focusing on GPU latency and performance.
Use mixed precision, model compilation, batching, frame stride, and other inference optimization techniques.
Package and deploy models using Docker and AWS-based infrastructure.
Contribute to reproducible training and retraining pipelines with experiment tracking, checkpointing, continuous integration, and automated testing.
Collaborate with clinicians, annotators, infrastructure engineers, and external Machine Learning partners.
Participate in regular client calls, technical discussions, demonstrations, requirement discussions, and progress updates.
Explain technical decisions, experiment results, risks, and tradeoffs clearly to technical and non-technical stakeholders.
Work directly with the client to understand feedback, clarify requirements, and translate discussions into actionable engineering tasks.

Desired Qualifications

Experience with medical imaging or medical image segmentation is preferred.
Experience with medical video annotation platforms is preferred.
Real-time Computer Vision or video inference experience is preferred.
Familiarity with multiple segmentation architectures or frameworks is preferred.
Experience working with multi-GPU training is preferred.
Knowledge of model deployment and inference optimization is preferred.
Previous experience working directly with clients, product teams, or external stakeholders is preferred.
Awareness of Software as a Medical Device practices, model traceability, model cards, audit trails, or clinical acceptance processes is preferred.

Software Engineer, AI/ML

Devsinc · Lahore, Pakistan · Full-time · Posted 2026-10-13

Workplace: on_site

Department: Junaid Rehmat Squad

Description

We are looking for a Software Engineer with 3+ years of experience and a strong foundation in Machine Learning and Computer Vision to join a health tech project building real time AI assistance for clinicians performing ultrasound guided endoscopic procedures.

The system analyzes live ultrasound video and highlights anatomy, suspected pathology, and medical instruments frame by frame, helping clinicians understand where the AI model is focusing during a procedure.

This is a hands on engineering role where you will work across the segmentation model lifecycle, from curated clinical data and model training to evaluation, optimization, deployment, retraining, and direct collaboration with the client.

Benefits include Provident Fund, Medical Inpatient and Outpatient Facilities, Paid Overtime, Subsidized Lunch and Dinner, Gym Facility, Sports Allowance, Interest Free Loan Facility, Advance Salary options, and employee activities.

If you have hands on experience with Computer Vision and PyTorch, communicate confidently with clients, and are interested in applying AI to real time clinical workflows, we would love to hear from you.

Apply or reach out with your resume and a brief summary of your relevant Computer Vision, Medical Imaging, PyTorch, and client facing experience.

Requirements

Core Responsibilities

What you’ll work on:

• Train and improve multi label medical image segmentation models using PyTorch
• Work with ultrasound video datasets and clinician annotated medical imaging data
• Run experiments around class imbalance, overlapping anatomy, small or thin targets, and temporal context
• Build and improve evaluation pipelines with per label, frame level, and event level metrics
• Validate models using patient level test splits and clinician review
• Optimize inference for real time video processing with a focus on GPU latency and performance
• Work with mixed precision, model compilation, batching, frame stride, and other inference optimization techniques
• Package and deploy models using Docker and AWS based infrastructure
• Contribute to reproducible training and retraining pipelines with experiment tracking, checkpointing, CI, and automated testing
• Collaborate with clinicians, annotators, infrastructure engineers, and external ML partners
• Participate in regular client calls, technical discussions, demos, requirement discussions, and progress updates
• Explain technical decisions, experiment results, risks, and tradeoffs clearly to both technical and non technical stakeholders
• Work directly with the client to understand feedback, clarify requirements, and translate discussions into actionable engineering tasks

Qualification

Minimum: Bachelors in Computer Science/Artificial Intelligence

Required Skills

What we’re looking for:
• 3+ years of relevant software engineering, Machine Learning, or Computer Vision experience
• Strong Python programming skills
• Hands on experience with PyTorch
• Experience training image segmentation or Computer Vision models
• Understanding of model training, validation, evaluation, and inference workflows
• Familiarity with data loaders, mixed precision training, checkpointing, and GPU based training
• Understanding of video or image based datasets and good practices around train and test data separation
• Experience or familiarity with AWS, cloud GPU environments, object storage, and Docker
• Understanding of production ML inference and performance optimization
• Strong software engineering fundamentals including testing, version control, reproducible configurations, and CI
• Strong verbal and written communication skills
• Confidence participating in client meetings and technical discussions
• Ability to explain technical topics clearly, ask the right questions, and communicate blockers or risks proactively
• Ability to discuss experiments, model results, implementation decisions, and tradeoffs directly with the client

Nice to have:
• Experience with medical imaging or medical image segmentation
• Experience with medical video annotation platforms
• Real time Computer Vision or video inference experience
• Familiarity with multiple segmentation architectures or frameworks
• Experience working with multi GPU training
• Knowledge of model deployment and inference optimization
• Previous experience working directly with clients, product teams, or external stakeholders
• Awareness of Software as a Medical Device practices, model traceability, model cards, audit trails, or clinical acceptance processes

Apply

Apply at Devsinc

About the Company

Devsinc

Global IT services and enablement provider

Devsinc provides global IT enablement services with two delivery centers in Southeast Asia and four offices across three continents. With 15+ years of experience and over 3,000 completed projects for more than 236 active clients in 23 countries, the company helps clients plan, execute, and manage technology initiatives. Its offerings are delivered through these distributed teams to support client projects and digital work across multiple regions. Compared with others, Devsinc emphasizes its international presence, long track record, broad client base, and cross-border delivery, which together support agility, coordination, and consistent IT execution. The company’s goal is to help clients achieve global IT excellence by enabling faster delivery, better alignment with business needs, and scalable technology solutions.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Francisco, CA
Founded: 2009

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