AI/ML Engineer

Woolpert

1d•$118,200 - $147,800•Hybrid

About The Position

Woolpert is hiring a Cloud AI/ML Delivery Engineer to join our dynamic Cloud Solutions and Interdisciplinary Services (CSIS) team. This position reports to the Cloud Engineering Lead and is responsible for providing hands-on engineering and customer-facing project delivery, supporting the Digital Innovations market. The successful Cloud AI/ML Delivery Engineer will research and implement rapidly evolving Google AI/ML technologies (including Gemini Enterprise), frameworks, tools, and approaches. This position is client-facing and focused on successful project delivery, including providing technical leadership for your project team, collaborating during discovery activities, developing technical solutions, hands-on delivery, testing, and user training. This is a Hybrid job, requiring the candidate to work in one of our many US-based offices with the flexibility to work from home. Visa sponsorship is not provided; applicants must possess work authorization in the country the job is located.

Requirements

8+ years of experience in customer facing consulting role.
Proven experience with AI/ML technologies and applications.
Proven experience in utilizing the Gemini family of models, spanning from integration and customization of Gemini Enterprise solutions to hands-on development and fine-tuning of custom Gemini models.
Hands-on experience with core GCP services relevant to AI/ML, such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow.
Demonstrated proficiency in at least one programming language or scripting language (Python, NodeJS/ES6, etc) and associated AI/ML libraries and frameworks.
Solid understanding of SDLC and Agile software development methodologies and tools related to team software development (e.g. Git, Jira, etc.).
Strong communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Nice To Haves

Hands on experience with Google Cloud Services such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow.
Google Cloud Platform professional certifications
Professional services experience, designing and delivering large enterprise solutions
Knowledge of security and IAM tools and principles

Responsibilities

Key member of the engineering team, working with client engineering teams, product owners, solutions architects, back-end/front-end developers to drive successful project delivery for our clients and solutions.
Perform client and project discovery activities to understand business and technical requirements, success metrics, and solution architecture.
Act as a trusted advisor to clients, understanding their business challenges and translating them into actionable, high-impact AI/ML solutions.
Develop clear, compelling AI/ML roadmaps and strategies that align with client goals and maximize the use of Google Cloud's AI and data capabilities.
Design and implement end-to-end AI/ML solutions on Google Cloud Platform, including data ingestion, feature engineering, model training, deployment, and monitoring.
Work closely with cross functional team members to drive successful delivery of client projects as well as establish repeatable processes and best practices in a professional services organization.

Benefits

Competitive pay
Freedom to Work program: Set your own schedule and location (as appropriate).
Principal program: Earn the opportunity to become an owner of the firm.
Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
Career development: Explore a wide range of learning and growth opportunities within and across industries.
Health, life, vision, and dental insurance
Paid sick time
Retirement plan
Fitness reimbursement
Pet insurance
Identity protection
Technology stipend
Employee assistance program