Location: Remote (India)
Experience: 8 years of software development, with 3-5 years specifically in training and using AI models.
Compensation: Competitive
Resolve to Save Lives
Resolve to Save Lives (RTSL) is a global health organization that works with governments and partners in over 60 countries to save millions of lives by tackling preventable health threats. Their focus is on closing the gap between proven, life-saving solutions and the people who need them, aiming for a future with longer, healthier lives for all.
Role
Join the Digital Team as an Applied AI Engineer, focusing on Large Language Models (LLMs) in Public Health. This role involves leading the design, fine-tuning, and deployment of AI/ML systems to assist healthcare workers and clinicians. You'll work on bringing AI capabilities to RTSL's digital health tools, with a strong likelihood of developing an open-source, locally runnable LLM.
Responsibilities
- 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.
- Design and evaluate prompt engineering strategies for optimizing LLM outputs in public health contexts.
- Collaborate with cross-functional teams to integrate AI solutions into existing products.
- Stay up to date with the latest advancements in AI.
- Apply responsible AI principles, including fairness, privacy, and transparency.
- Manage and lead AI pilots/projects at RTSL.
- Train and up-skill other engineers on the team.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning or a related field.
- 8 years of software development experience.
- 3-5 years of experience in training and using AI models.
- Proven track record of using LLMs and building predictive models to meet user requirements.
- Experience collaborating with multi-disciplinary and cross-functional teams.
- Experience delivering LLM-based solutions in resource-constrained environments.
- Hands-on experience with pre-trained AI models.
- Strong proficiency in Python, Pandas, and machine learning frameworks like TensorFlow or PyTorch.
- Familiarity with AI tools such as Hugging Face, LangChain, and ONNX.
- Strong understanding of AI ethics, data privacy, and bias mitigation.
- Excellent analytical and problem-solving skills.
- Ability to communicate complex technical ideas to non-technical stakeholders.
- Comfortable working in agile, interdisciplinary teams across different locations.
Benefits
- Health insurance for you and your dependents.
- Contributions toward retirement.
- Paid annual leave, sick leave, and public holidays.
- Two paid, week-long organization-wide breaks per year.
- Professional development and home office setup benefits.
- Up-to-date computer equipment.
Apply
This is a two-year fixed-term appointment. The exact salary will be determined by your location, skills, and experience relative to the role's requirements.
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