Job Specifications
At Real Chemistry, making the world a healthier place isn’t just an aspiration—it’s our everyday reality. Our drive to transform healthcare is informed by our blend of deep scientific expertise, human-centred creativity, and AI-driven insights, fostering a unique environment where innovation thrives and our people are impact-obsessed. As a global agency, we provide a full suite of services across healthcare communications and marketing to our clients, including top players in the pharmaceutical and biotech industries.
Our culture is rooted in our people—we believe we are best together and are committed to excellence for both our clients and colleagues. Whether you're a seasoned professional or just starting your career, if you share our passion for healthcare and connection, we invite you to explore our opportunities.
Discover your purpose. Embrace innovation. Experience .
Job Summary
We’re seeking a hands-on AI / Machine Learning Engineer to design, build, and deploy AI/ML models that power our products and solutions. This role sits within our AI organization and focuses on applied machine learning, model development, experimentation, and production-level implementation. You’ll collaborate with data engineers, product managers, and other technical teams to translate business problems into scalable, high-impact AI solutions.
Key Responsibilities
Machine Learning Model Development
Build, train, test, and optimize models using supervised, unsupervised, and generative techniques.
Develop features, evaluate model performance, and implement scalable ML pipelines.
AI Experimentation & Research
Explore new modeling approaches and emerging AI techniques, including LLMs, RAG frameworks, and agent-based systems.
Run experiments, track results, and iterate based on findings.
End-to-End ML Pipeline Execution
Support the full lifecycle of ML development: problem framing, data exploration, model training, deployment, and monitoring.
Build reusable components for data preprocessing, model training, and inference.
MLOps Implementation
Implement CI/CD for ML workflows, including automated training, testing, deployment, and monitoring.
Set up observability for models, including drift detection, performance monitoring, and alerting.
Cross-Functional Collaboration
Work with product managers, data engineers, and business partners to understand requirements and translate them into technical ML solutions.
Present technical findings and model insights in a clear and practical way to non-technical stakeholders.
Production Deployment
Deploy models to cloud environments (AWS, Azure, GCP) using containerization, APIs, and orchestration tools.
Maintain reliable, scalable, and low-latency inference environments.
Responsible AI & Quality
Ensure models follow ethical AI standards, data governance requirements, and organizational compliance guidelines.
Document assumptions, dependencies, limitations, and validation methods.
Qualifications & Skills
Education & Experience
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
3–7 years of applied experience in data science, ML engineering, or AI model development.
Technical Skills
Proficiency in Python and deep experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
Hands-on experience developing and deploying ML models in cloud environments (AWS, Azure, GCP).
Strong experience with SQL and data manipulation.
Familiarity with generative AI models (LLMs), RAG pipelines, vector databases, and embeddings.
Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, or Kubeflow.
Strong foundation in statistical analysis, experimentation (A/B testing), and model evaluation techniques.
Soft Skills
Ability to explain technical concepts to non-technical audiences.
Strong analytical mindset and problem-solving skills.
Comfortable working in a fast-paced, collaborative environment.
Preferred Qualifications
Experience developing AI/ML solutions in healthcare, life sciences, biotech, or commercial/marketing analytics.
Exposure to agentic AI systems or multi-step AI tool frameworks.
Real Chemistry is proud to be Great Place to Work® certified; check out what our people shared about our culture and workplace on our Great Places to Work Profile here.
We believe we can do our best when feeling our best, which is why we’ve put together a benefits program designed to give you the support you and your family need at every stage of life. Real Chemistry offers a comprehensive benefit program and perks, tailored to your region. Globally, this includes offices in our key markets with free snacks to keep you running all day long, generous holiday and paid time off, options for private medical, dental, and vison plans, and support in saving for the future. Other perks include mental wellness coaching and support and access to more than 13,000 online classes with LinkedIn Learning. Learn more about our