AI Engineer

Key Skills

Apache Hadoop, DevOps, Flux, Kanban, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, SPARK Programming, SQL, TensorFlow

Job Description

Junior Machine Learning Engineer

Real-World Analytics & AI, RWS Technology

This is an exciting opportunity to work in one of the world's leading human data science teams working with Real-World Insights to help our clients answer specific questions globally, make more informed decisions, and deliver results. We are looking for a confident, innovative, and intellectually curious Junior Engineer to join our team.

The team develops software primarily in python and Julia, interspersed with a variety of other technologies, including tooling around operational matters, such as docker and Kubernetes (and anything you can introduce which simplifies or improves our processes is always welcome). The team creates and maintains packages that support ML engineering projects. As such, the team does not directly develop models but instead writes modeling packages and works closely with the model building team as they use the packages for client delivery.

Please don’t feel you need to perfectly match the requirements; we are trying to give a flavor of what we do, what we need, and how you will fit into the team. If this description resonates with you and you don’t feel you have all the right skills, that’s ok!

Ideally you will have

• Previous experience of maintaining and enhancing software products used by data scientists, and supporting data scientists in their development needs
• Intimately familiar with a language typically used by data scientists, e.g. Python, R, MATLAB, Julia
• Some familiarity with machine learning algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.)
• Experience in logic development, unit tests, code review, core programming of back-end software
• Attention to clarity of code, ease of development, and correctness of implementations
• Good knowledge of software development best practices including testing, continuous integration, and DevOps tools
• Familiarity with agile software development lifecycle (scrum, Kanban, etc.)

Bonus points for any of the following

• Advanced degree in Engineering, Computer Science, Mathematics, Physics or similar quantitative discipline
• Produced a complete and installable software package (e.g. RPM packaging, python source distribution, etc.)
• Authored or collaborated on an ML library/software package
• Programmed using distributed systems (e.g. Hadoop, Spark, MPI)
• Comfortable with numerical optimisation (in particular Bayesian hyperparameter optimisation)
• Knowledge of cloud systems such as AWS, GCP and containerisation such as Docker
• Used DNN libraries such as PyTorch, Tensorflow, Flux
• Knowledge of biostatistics/life sciences/healthcare technology

The Team

This high-profile team works on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The team works hand-on-hand with Statisticians, Epidemiologists, and disease area experts across the wider global Real-World Solutions group, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.

Why Join?

Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. In RWS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.