About the Role
The AI/ML Engineer leverages a deep understanding of artificial intelligence (AI), software engineering and technical research to develop and mature AI and machine learning capabilities, workflows and use cases. The role is primarily responsible for technical delivery as a full-fledged team member in delivering on priority projects and developing global AI capabilities that are embedded into scalable products, platforms, and solutions.
What You Will Do
Primary Responsibilities
- Delivery of enterprise AI projects and assets including products, platforms, and solutions, with a view to maximize reuse.
- Work on technical pilots and feasibility studies of new opportunities to create value, and transitioning successful pilots to scalable production implementations.
- Engage and communicate with stakeholders to understand business problem and project requirements.
- Collaborate with other technical teams (software engineering, cloud operations, robotic process automation) to develop and deliver the projects.
- Participate in internal professional communities of practice and mentor colleagues to raise artificial intelligence and data science maturity within the company.
- Assist in technical training to upskill colleagues to raise the data science competency levels within the company.
Education Minimum Requirement
- Bachelors, Masters or PhD in Artificial Intelligence, Machine Learning, Computer Science with specialization in Natural Language Processing or Computer Vision highly preferred.
- We evaluate candidates on a case-by-case basis but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Data Science, Analytics, Physics, and Bioinformatics.
Required Experience And Skills
- At least 3+ years of relevant working experience in fields related to artificial intelligence, machine learning, data science, software engineering.
- Understanding of artificial intelligence research landscape in Natural Language Processing (NLP) and/or Computer Vision (CV), and ability to review research publications.
- Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions highly regarded.
- Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity.
- Hands-on code development experience and familiarity with the Python scientific computing stacks.
- Knowledge of NLP and/or CV techniques and models as well as usage of common NLP and/or CV Python libraries (NLTK, Spacy, Keras, etc.). Knowledge of transformer-based models and experience with deep learning frameworks such as TensorFlow, Pytorch etc. would be a plus.
- Proficient in working with both structured and unstructured data with an emphasis on natural language or image.
- Familiarity with developing and deploying within a cloud-based infrastructure and services environment a plus.
Full stack web application development and UX experience and understanding non-essential but a plus.