At a Glance
- Tasks: Develop AI solutions to digitise health records and improve data accuracy.
- Company: Join PATH, a global nonprofit dedicated to health equity.
- Benefits: Competitive pay, flexible work options, and the chance to make a real impact.
- Other info: Work in a dynamic environment with opportunities for travel and growth.
- Why this job: Be part of innovative projects that transform healthcare for frontline workers.
- Qualifications: 7+ years in Machine Learning, with expertise in Computer Vision and Document AI.
The predicted salary is between 70000 - 90000 £ per year.
PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.
PATH is seeking an AI Engineer to help scale SnapiForm, an AI-powered platform available through Telegram mini-app, WhatsApp and the browser that enables health workers to digitize paper HMIS forms by simply taking a photo. Following a successful pilot in the DRC that significantly improved data accuracy and reduced reporting time, SnapiForm is now expanding to process millions of health records each month.
Responsibilities:
- Design and optimize AI pipelines for complex document understanding, focusing on extracting structured data from mobile-captured HMIS forms, specifically tackling challenges like handwriting recognition, complex table extraction, and multilingual parsing.
- Research, benchmark, and fine-tune state-of-the-art Vision-Language models (e.g., Qwen-VL) and foundational OCR models on domain-specific datasets.
- Utilize advanced techniques (LoRA/QLoRA, DeepSpeed) to maximize accuracy on noisy, real-world mobile images.
- Architect and deploy production-grade inference pipelines using vLLM or similar engines.
- Optimize continuous batching, KV cache management, and quantization to maximize throughput while strictly maintaining low per-page processing cost targets.
- Design architecture for both self-hosted/local cloud environments (like Linode) and on-premise hardware, keeping data sovereignty and cost efficiency in mind.
- Tune AI models for visual data optimization.
- Develop strategies for image chunking, tiling, and preprocessing to allow models to efficiently process high-resolution images and large, complex tables without losing context.
- Evaluate, select, and provision optimal cloud and on-prem GPU infrastructure to handle a target volume of 10 million forms.
- Assess next-generation hardware (e.g., NVIDIA Blackwell nodes) to balance massive scalability, performance, and budget efficiency.
- Lay the technical groundwork for future iterations, including offline/edge processing support, expanded multilingual capabilities, and interoperability beyond DHIS2.
- Willingness to travel to PATH countries as needed and overlap with GMT and ESA timezones.
Required Qualifications and Experience:
- Education: B.S. or M.S. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in Machine Learning Engineering, with at least 1-2 years specifically focused on Computer Vision, Document AI, or Multimodal Large Language Models.
- Core Frameworks: Deep expertise in PyTorch and the Hugging Face ecosystem (Transformers, PEFT).
- Inference Engines: Hands-on, production-level experience deploying models using vLLM.
- Domain Expertise: Proven experience working with Document AI, Optical Character Recognition (OCR), Handwriting Recognition (HTR), or Vision-Language models.
- Image Processing: Proficiency in computer vision libraries (OpenCV, Pillow) and experience handling real-world, variable-quality mobile images, including tiling and chunking strategies.
- Infrastructure & Cloud: Strong experience with Docker, Kubernetes, and cloud GPU provisioning. Familiarity with distributed training and inference optimization.
- Programming: Exceptional Python skills, with experience writing clean, modular, and highly optimized code.
- Language: Fluency in verbal and written English.
Personal Attributes:
- Passionate about building technology that improves health systems and supports frontline health workers in low-resource settings.
- Strong focus on building cost-effective, scalable AI solutions that perform well on limited hardware.
- Able to balance cutting-edge AI research with practical engineering decisions and real-world constraints.
- Proactive and able to work independently as well as collaboratively.
- Strong sense of accountability and commitment to continuous improvement.
What We Offer:
- Opportunity to contribute to impactful digital health and data initiatives.
- Competitive compensation and flexible working arrangements.
Consultant, AI Engineer employer: Program for Appropriate Technology in Health
PATH is an exceptional employer that champions health equity through innovative technology solutions, offering a collaborative work culture where your contributions directly impact global health initiatives. As a Consultant AI Engineer, you will enjoy competitive compensation, flexible working arrangements, and the opportunity for professional growth while working alongside passionate individuals dedicated to improving health systems in low-resource settings.
Contact Details:
Program for Appropriate Technology in Health Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Consultant, AI Engineer
✨Get Involved Locally
Dive into local volunteer opportunities or social initiatives. This not only beefs up your CV but also connects you with like-minded folks in nonprofits. Plus, it shows your passion for social impact, which is key for getting noticed by Program for Appropriate Technology in Health.
✨Tap into Professional Networks
Join networks like the National Council for Voluntary Organisations (NCVO) or local charities to meet professionals in the sector. Attend events and workshops to build relationships and learn about potential openings at organisations like Program for Appropriate Technology in Health.
✨Showcase Your Commitment
When prepping for interviews, be ready to speak about your personal connection to social issues. Dive into specific examples of how you’ve contributed to community projects – this will resonate with the mission-driven vibe at Program for Appropriate Technology in Health.
✨Utilise Online Platforms
We’re all about making connections, so use platforms like Idealist and CharityJob to hunt for full-time roles. And of course, you should keep an eye on our website for exciting opportunities at Program for Appropriate Technology in Health. Apply directly through us to stand out!
We think you need these skills to ace Consultant, AI Engineer
Some tips for your application 🫡
Show Your Passion for the Cause:In the nonprofit sector, it's super important to demonstrate genuine passion for the mission of Program for Appropriate Technology in Health. Use your cover letter to showcase any personal experiences or volunteer work that connects you to their social impact initiatives. This emotional connection can really help your application stand out.
Highlight Relevant Experience:When crafting your CV, be sure to include any relevant projects or roles that showcase your skills in social impact. Whether it's community organising, fundraising, or advocacy, highlight what you've done and the difference it's made. Don’t just list tasks; quantify your achievements and the outcomes of your efforts.
Tailor Your Documents to the Role:For a full-time role like Consultant, AI Engineer, ensure your CV and cover letter specifically address the responsibilities outlined in the job description. Use their language to describe your skills and experience, making it easy for the hiring team to see how you fit into their vision.
Emphasise Teamwork and Collaboration:Nonprofits thrive on teamwork, so make sure to emphasise your collaborative experiences. Whether you've worked in a team setting, partnered with community organisations, or facilitated group projects, highlight these experiences in your application. Show them you understand the importance of working alongside diverse individuals to achieve shared goals.
How to prepare for a job interview at Program for Appropriate Technology in Health
✨Show Your Passion for Social Change
When we’re prepping for interviews in the nonprofit space, it's vital to demonstrate our genuine passion for social impact. Be ready to discuss not just your skills and experiences but also why you care about the mission of Program for Appropriate Technology in Health. Sharing personal stories or insights can really make us stand out.
✨Highlight Project Experience
We should focus on specific projects we've worked on that align with the goals of social impact. Whether that’s a community initiative, volunteering, or a class project, having solid examples that showcase our role and the outcomes will resonate well with the interviewers.
✨Familiarity with Relevant Tools and Practices
Let’s brush up on tools and methodologies commonly used in the nonprofit sector, like project management software or outcome measurement frameworks. Being able to speak fluently about these will show that we’re not just passionate but also knowledgeable and ready to hit the ground running.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that evaluate our problem-solving skills in real-world social issues. Think about how we’d handle challenges in the nonprofit environment and prepare stories that demonstrate our critical thinking and adaptability. Role-playing with a friend could help us feel more confident!
