
11 - 50 employees
Founded 2018
⚕️ Healthcare Insurance
🌍 Social Impact
🤝 Non-profit
Healthcare Insurance • Social Impact • Non-profit
Girls For Girls Africa Mental Health Foundation is an organization focused on improving mental health across Africa. Their work involves a global community of mental health innovators including researchers, practitioners, policy-makers, and advocates. Their mission includes promoting mental health, supporting mental health integration into general healthcare, and providing innovative resources and ideas to improve mental health services. They focus on addressing mental, neurological, and substance use disorders and provide platforms for sharing knowledge and innovations in mental health services across different parts of the world.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2018
⚕️ Healthcare Insurance
🌍 Social Impact
🤝 Non-profit
Healthcare Insurance • Social Impact • Non-profit
Girls For Girls Africa Mental Health Foundation is an organization focused on improving mental health across Africa. Their work involves a global community of mental health innovators including researchers, practitioners, policy-makers, and advocates. Their mission includes promoting mental health, supporting mental health integration into general healthcare, and providing innovative resources and ideas to improve mental health services. They focus on addressing mental, neurological, and substance use disorders and provide platforms for sharing knowledge and innovations in mental health services across different parts of the world.
• Design, deploy, and debug sophisticated agentic AI workflows. • Architect and refine retrieval-augmented generation systems. • Deploy and operate LLM-based services directly in production. • Implement robust traditional machine learning models across tabular/structured data or NLP. • Write idiomatic, clean, and production-quality Python code. • Query, manipulate, and pipe structured data at scale using complex SQL configurations. • Participate in team rituals, maintain meticulous technical documentation, and champion a culture of shared learning.
• 5+ years of experience operating as an ML Engineer, Data Scientist, AI Engineer, or Software Developer with a clear history of shipping code to production. • Outstanding proficiency in Python and deep experience working with large-scale structured data using SQL. • Proven, practical experience building and serving live LLM-based or agentic systems for real users (not just internal prototypes). • Solid grounding in traditional machine learning fields, with distinct depth in at least one area (tabular ML, NLP, or deep learning). • Strong verbal and written English communication skills.
• Benefits and allowances tailored to your location. • Flexible work arrangements, including remote or hybrid options. • A personal development budget of €500 per year to invest in your professional growth. • Unlimited holiday days to use as you see fit - just coordinate with your team and take the time you need to recharge. • The opportunity to shape a growing, impactful product and leave your mark on how we work. • A culture built on trust - we believe you’ll do your best without the need for unnecessary rules or micromanagement.
Apply Now🕒 May 23
Senior Machine Learning Engineer developing infrastructure for data science in a global mobility leader. Joining a team that enhances AI algorithms for business impact and customer experience.
AWS
Cloud
Docker
ETL
Python
Terraform
🕒 May 13
Machine Learning Architect leading design and implementation of AI and ML solutions at Mindera. Collaborating across teams to develop production-ready intelligent systems.
Airflow
Apache
AWS
Azure
Cloud
ETL
Google Cloud Platform
Python
Spark
SQL
Unity
🕒 May 12
ML Engineer developing large-scale distributed machine learning systems at Mindera. Collaborating with cross-functional teams and contributing to ML technologies and tools.
Airflow
Docker
Kubernetes
PyTorch
Scikit-Learn
Tensorflow
🕒 March 31
Building the intelligence layer for life sciences at Veeva Link. Creating connected data applications that accelerate drug development and improve patient outcomes.
Python
🕒 March 24
AI team member at Veeva, pioneering life sciences industry. Productizing and scaling AI tools in a cross-functional environment.
AWS
Cloud
Google Cloud Platform
Kubernetes
Python
Terraform