Remote Senior Machine Learning Engineer - AI in Drug Discovery

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1.200.000 - 2.400.000; Vollzeit

Benefits dieser Stelle

Remote work

Stock options

Flexible hours

Home office stipend

Health insurance

Professional development

4 Day Work Week

Zusammenfassung

Placements24 in South Africa is seeking a Senior Machine Learning Engineer for a remote-first R&D team focused on drug discovery. You will design, train, and deploy ML models using large biological/chemical datasets and collaborate with biologists, chemists, and clinicians to translate needs into ML solutions.

Required qualifications include a PhD/Master's in a quantitative field, 5+ years in ML engineering, and proficiency in Python and major ML libraries.

Qualifikationen

• Master's or Ph.D. in Computer Science, ML, Statistics, Bioinformatics, or related field.
• 5+ years of professional experience in ML engineering with production deployments.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with Pandas and NumPy for data manipulation.
• Strong understanding of ML algorithms, statistical modeling, and deep learning.

Aufgaben

• Design, build, train, and deploy ML models for target identification and virtual screening.
• Develop data processing and feature engineering pipelines for biological/chemical data.
• Collaborate with biologists, chemists, and clinicians to translate needs into ML solutions.
• Optimize model performance, scalability, and efficiency for large-scale applications.
• Implement MLOps practices for deployment, monitoring, and retraining in production.
• Stay current with ML and AI advancements in life sciences.
• Contribute to ML team roadmap and technical vision.
• Explain complex concepts to technical and non-technical audiences.
• Write clean, well-documented code and mentor juniors.

Kenntnisse

5+ years ML engineering

Problem-solving

Communication

Ausbildung

Master's or PhD in Computer Science / ML / Bioinformatics

Tools

AWS

GCP

Azure

Docker

Kubernetes

Python libraries (TensorFlow, PyTorch, scikit-learn)

Jobbeschreibung

About the Role

Our client, a pioneering AI-driven pharmaceutical company, is seeking a talented Senior Machine Learning Engineer to join their fully remote R&D team. This role is crucial for developing and deploying advanced machine learning models that accelerate drug discovery and development. You will work with vast biological and chemical datasets, leveraging cutting-edge AI techniques to identify novel therapeutic targets, predict compound efficacy, and optimize clinical trial designs. As a remote-first employee, you will have the flexibility to work from anywhere within South Africa , contributing to a globally distributed team. This is an exceptional opportunity to apply your expertise in machine learning to solve some of the most challenging problems in medicine and make a tangible impact on human health. You will collaborate with leading scientists and engineers in a dynamic and innovative environment.

Key Responsibilities

• Design, build, train, and deploy machine learning models for tasks such as target identification, virtual screening, ADMET prediction, and biomarker discovery.
• Develop and implement robust data processing and feature engineering pipelines for complex biological and chemical data.
• Collaborate closely with domain experts (biologists, chemists, clinicians) to understand their needs and translate them into ML solutions.
• Optimize model performance, scalability, and efficiency for large-scale applications.
• Implement MLOps best practices for model deployment, monitoring, and retraining in production environments.
• Stay current with the latest advancements in machine learning, deep learning, and AI for life sciences.
• Contribute to the technical vision and roadmap for the ML team.
• Communicate complex technical concepts and findings effectively to both technical and non-technical audiences.
• Write high-quality, well-documented, and maintainable code.
• Mentor junior machine learning engineers and contribute to team knowledge sharing.

Requirements

• Master's or Ph.D. degree in Computer Science, Machine Learning, Statistics, Bioinformatics, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering, with a significant focus on developing and deploying models in production.
• Proficiency in Python and major ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Strong understanding of ML algorithms, statistical modeling, and deep learning architectures.
• Experience working with large, complex datasets, preferably in the life sciences domain (genomics, proteomics, cheminformatics).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, essential for a remote team environment.
• Experience with MLOps tools and workflows is a plus.

Benefits

• Competitive remote salary and potential for stock options.
• Flexible working hours and the autonomy to manage your schedule.
• Comprehensive health, dental, and vision insurance.
• Generous home office stipend and technology allowance.
• Opportunities for professional development, including online courses, conferences, and workshops.
• Be part of a mission-driven company making a significant impact on global health.
• Collaborate with a diverse and talented international team.
• 4 Day Work Week option with standard compensation.