Senior AI/ML Platform Engineer

Key Skills

AI technology, Ansible, Apache Airflow, Argo, AWS, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Google Cloud Platform (GCP), Kubeflow, Machine learning techniques, Packer, Python Programming, PyTorch, Scikit-learn, SQL, TensorFlow, Terraform

Job Description

At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.

We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

• Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”
• Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
• Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time

Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in <12h)

Enabling governance by design of external and internal data: with engineered practical solutions for controlled use and monitoring

Innovative disease-specific and domain-expert specific data products: to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles.​

Supporting e2e code traceability and data provenance: Increasing assurance of data integrity through automation, integration

Improving engineering efficiency: Extensible, reusable, scalable, updateable, maintainable, virtualized traceable data and code​ would be driven by data engineering innovation and better resource utilization.

Our AI/ML Platform Engineering team is building a first-in-class platform of tools and services covering MLOps/DevOps across Cloud and High-Performance Computing. Our goal is to decrease development time and raise the quality bar on engineering across AI/ML teams and products.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career from day one, supporting individuals in dedicating 20% of their time towards personal development.

In this role you will:

• Design, develop, test, document and maintain platform services, tools, and infrastructure
• Continuously scale and enhance operational efficiencies around platform’s CI/CD capabilities
• Work closely with engineers, researchers, and other science domain experts on productionizing AI/ML models and pipelines
• Drive and maintain development standards and processes across the team and wider organization
• Mentor and stay up to date on the latest leading technologies in the AI/ML software ecosystem

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• BS or MS in Computer Science or a related technical field.
• 4+years of industry and/or academic experience in software engineering
• Experience in Python and deployingAPIs and packages
• Experience with CloudComputing, Distributed Systems, and CI/CD
• Experience ML frameworks such as PyTorch, TensorFlow, or Sci-kit Learn
• Experience with Docker,Kubernetes, and the larger CNCF ecosystem

Preferred Qualifications:

If you have some of the following characteristics, it would be a plus:

• Experience in the AI/ML and Big Data space
• Experience working in a highly regulated industry such as Healthcare
• Experience in workflow orchestration with tools such as Argo Workflow, Kubeflow, Airflow, etc.
• Experience with Cloud CI/CD infrastructure and tools such as Azure DevOpsand CloudBuild
• Experience with Infrastructure as Code tools such as Terraform, Ansible, and Packer
• Deep knowledge of the wider CNCF ecosystem around build, deployment, orchestration, and monitoring
• Familiarity with more than one cloud computing environment (AWS, Azure, GCP)
• Familiarity withEvent-Driven APIs

Why GSK?

Our values and expectations are at the heart of everything we do and form an important part of our culture.

These includePatient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:

• Operating at pace and agile decision-making – using evidence and applying judgement to balance pace, rigour and risk.
• Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
• Continuously looking for opportunities to learn, build skills and share learning.
• Sustaining energy and well-being
• Building strong relationships and collaboration, honest and open conversations.
• Budgeting and cost-consciousness

GSK offers a competitive compensation package inclusive of the following: Competitive base salary, annual bonus based on company performance, access to healthcare and wellbeing programs, retirement savings program, paid time off, and employee recognition programs which reward exceptional achievements. The salary range for this role is: $148,308 to $200,652

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).