Applied AI/LLM Engineer, Public Health LLMs, Consultant at Resolve To Save Lives

Addis Ababa, Addis Ababa, Ethiopia -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Manipulation, Machine Learning, Large Language Models, Predictive Models, AI Ethics, Data Privacy, Bias Mitigation, Pandas, NumPy, TensorFlow, PyTorch, Hugging Face, LangChain, ONNX, Analytical Skills

Industry

Non-profit Organizations

Description

Resolve to Save Lives (RTSL) is a global health organization that partners locally and globally to create and scale solutions to the world’s deadliest health threats. Millions of people die from preventable health threats. We collaborate to close the gap between proven, life-saving solutions and the people who need them. Since 2017, we’ve worked with governments and other partners in more than 60 countries to save millions of lives. We work toward a future where people live longer, healthier lives, communities flourish, and economies thrive. This is an ambitious vision, and it inspires us and our partners to make progress every day. The Digital Team at Resolve to Save Lives (RTSL) is implementing or helping to implement cutting-edge digital tools such as the Simple app, DHIS2 and Africa Covid Dashboard. We work with national and regional health organizations to accelerate progress and advancing the use of digital technologies to save lives through our approach of simplicity, speed, and scale. Contract duration: Full-time 12-month consultancy, with possibility of extension based on program needs and mutual interest Location: Remote Job Structure: Independent Contractor Position Purpose Resolve to Save Lives is looking for an Applied AI/LLM Engineer Consultant to support our innovative team, focusing on the exciting field of Large Language Models (LLMs) in the context of Public Health. In this role, you will contribute to the design, fine-tuning, deployment, and evaluation of AI/ML systems based on pre-trained models (e.g., LLaMA, Mistral, GPT, Phi) that help ease the lives of healthcare workers and clinicians. You will work closely with back-end and mobile engineers to bring cutting-edge AI capabilities to life. The ideal candidate will possess the expertise to leverage existing Large Language Models (LLMs) to train and evaluate models using program-specific clinical data (e.g., patient notes, SMS interactions, training materials or health worker feedback) and deploy within RTSL's digital health tools and global EHRs (e.g., Simple, BP Passport). Additionally, there is a strong likelihood of developing an open-source, locally runnable, adapted LLM to address cost and confidentiality concerns. You'll be working at the intersection of cutting-edge AI and grassroots public health. This is an opportunity to shape the future of digital health tools that are open source, impactful, real-world solutions for some of the most underserved populations globally. Our primary use cases for LLMs are anticipated to include (not limited to): Generating patient summaries specifically tailored for healthcare workers. A chatbot for appointment scheduling. Develop a predictive model to enhance and automate existing workflows. Optimized worklists for frontline workers. On-the-job training and ready-reckoner tools for healthcare professionals. Core Tasks and Activities The ideal candidate will perform duties and responsibilities such as, but not limited to, the following: Research, evaluate, and implement state-of-the-art LLMs. Fine-tune pre-trained models for specific tasks and datasets. Develop and deploy AI applications using Python. Perform data manipulation and analysis using Pandas to prepare data for model training and evaluation. Design and evaluate prompt engineering strategies for optimizing LLM outputs in specific public health contexts. Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows. Stay up to date with the latest advancements in AI, particularly in the LLM space. Apply responsible AI principles, including fairness, privacy, and transparency, especially in clinical and community health settings. Support the implementation of AI pilots/projects at RTSL. Train and upskill other engineers on the team. Contract Deliverables Models Optimized models for predicting patient behavior (propensity to miss a visit, propensity to come back on their own after missing a visit, propensity to come back after missing a visit if we call them ... Clear technical documentation allowing the team to reproduce and maintain models Train the team to reproduce and maintain models LLM Generate conversational AI Agents to automate patient interaction Technical documentation and process flows to allow internal teams to adapt similar LLM based use cases Training on generating LLM Contract Management The Independent Contractor will submit all deliverables to the Senior Engineering Manager, who will manage this contract and monitor progress towards deliverables. Qualifications Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning or a related field OR equivalent software development experience 5+ years of experience in training and using AI models Demonstrated experience using Large Language Models (LLMs) and building Predictive Models to meet user requirements Experience in developing and deploying AI applications in production environments Delivered LLM-based solutions in resource-constrained environments Hands-on experience with pre-trained AI models. Skills & Abilities Advanced proficiency in Python programming Strong experience in data manipulation using Pandas, NumPy, and data preprocessing techniques Skilled in machine learning frameworks (e.g., TensorFlow, PyTorch) Familiarity with AI Tools (Hugging Face, LangChain, ONNX, etc.) Strong understanding of AI ethics, data privacy, and bias mitigation techniques Excellent analytical and problem-solving skills Ability to communicate complex technical ideas clearly to non-technical stakeholders Ability to prototype and iterate quickly Experience working with and mentoring agile, interdisciplinary teams across geographies Preferred Qualifications Experience working in healthcare or public health settings Contributed to or maintained open-source AI/ML projects Familiarity with MLOps, including model serving, performance monitoring, and lifecycle management, particularly in low-bandwidth or edge environments Application Process Interested candidates should submit their CV and a cover letter detailing their suitability for the role. RTSL believes its programs are strengthened when they are developed and supported by individuals with diverse life experiences whose understanding of social and cultural issues can help make our work and workforce more inclusive. We encourage applications from and provide equal employment opportunities to all qualified applicants without regard to race, color, religion, gender, gender identity or expression, ancestry, sexual orientation, national origin, age, disability, marital status, organ donor status, or status as a veteran. Resolve to Save Lives complies with all applicable US EEO laws.

Responsibilities

The Applied AI/LLM Engineer Consultant will design, fine-tune, deploy, and evaluate AI/ML systems based on pre-trained models to support healthcare workers. They will collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.