Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Machine Learning Engineer role.
Rezi rewrites your resume against Faculty's job description. Free.
Tailor your resume to this Senior Machine Learning Engineer role.
Rezi rewrites your resume against Faculty's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Machine Learning Engineer posting at Faculty — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Machine Learning Engineer posting at Faculty — free, in seconds.
About the Role
As a Senior Machine Learning Engineer, you will lead the development and deployment of cutting-edge AI systems for diverse clients. You will design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident client-facing skills.
Responsibilities
- Leading technical scoping and architectural decisions for high-impact ML systems
- Designing and building production-grade ML software, tools, and scalable infrastructure
- Defining and implementing best practices and standards for deploying machine learning at scale across the business
- Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
- Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
- Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth
Requirements
- Understand the full ML lifecycle and have significant experience operationalizing models built with frameworks like TensorFlow or PyTorch
- Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
- Demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
- Extensive experience working with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale
- Thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
- Communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders
Skills
- TensorFlow
- PyTorch
- Python
- AWS
- Azure
- GCP
- Docker
- Kubernetes
Experience Level
- Senior
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty brings unparalleled depth of technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defense.
- Faculty's business and reputation are growing rapidly.
- Faculty is looking for individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty is a company where employees are empowered to envision and implement the most powerful applications of AI.
- The Retail and Consumer experts team is dedicated to helping clients in an industry being transformed by new technologies and evolving consumer expectations.
- The team leverages over a decade of experience in Applied AI, combining exceptional technical and delivery expertise to empower businesses to adapt and thrive.
Equal Opportunity
- We aim to grow the best team - not the most similar one.
- Diversity of individuals fosters diversity of thought, which strengthens our principle of seeking truth.
- Diverse teams deliver better work, relevant to the world in which we live.
- We are united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact.
- We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
- If you don’t meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles.
- We are open to conversations about part-time hours.
- We are happy for you to use AI for research and interview prep, but please don't use it to generate answers during live interviews.
- We use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know).
- Every application is reviewed by a human, never decided by AI.