About Nerdery and Being a “Nerd.”Nerdery is a digital product consultancy. Much more than consultants, we’re allies and guides on our clients’ digital journey – helping them to grow their business and delight their customers through intuitive, thoughtfully designed technology. As true partners, we prepare our clients for the opportunities in front of them, help them achieve their goals, and quickly deliver value for their customers. We do this by solving problems in creative ways across strategy, design, and technology.

At Nerdery, we’re not defined by our job titles but by the impact we make. You’ll work directly and closely with some of the world’s best brands to help create innovative digital products that serve everyone. As Nerds, our insight, innovation, and expertise are celebrated, and our growth is not only encouraged but expected. Being a Nerd means stepping up and pushing the boundaries of what’s possible.  We’re curious, fearless (well, not totally fearless – there are heights and spiders, after all), and always our authentic selves.

We are looking for a Senior AI/ML Engineer to join our team!  We invite you to check out the details below and consider whether becoming a Nerd is the next step in your career journey.

The  Senior AI/ML Engineer will design and implement AI/ML solutions on Google Cloud Platform (GCP). In this role, you will define architectures, develop machine learning models, and collaborate with data scientists, engineers, and business stakeholders to address complex challenges.

This role will act as a trusted advisor throughout the sales process, working closely with Google and leveraging their technical resources to deliver innovative solutions.  Expertise in AutoML, Gemini, Vertex AI, and MLOps will be essential for building and deploying AI/ML models that integrate seamlessly with data pipelines.

This role works in a dynamic environment, combining technical expertise with strong communication skills to convey complex concepts to both technical and non-technical audiences. This role plays a crucial part in driving business growth by showcasing the value of GCP’s AI/ML capabilities.

Requirements

• Bachelor’s Degree is Computer Science or related field.
• 5+ years of experience in machine learning or AI engineering, with at least 3+ years on GCP.
• Strong understanding of AI/ML algorithms, model training, and evaluation techniques.
• 3+ years proficiency in Python and experience with AI/ML frameworks like TensorFlow or PyTorch.
• Experience in developing reusable tooling (libraries, modules, etc.) using object-oriented design to manage code complexity alongside willingness to learn object-oriented design principles, as necessary
• Experience in and familiarity with MLOps principles, including, but not limited to, model registries, model serving (batch and real-time), model versioning, promotion, model and feature drift, and automated re-training
• Deep understanding of Machine Learning algorithms, techniques and methodologies with hands-on experience in applying supervised, unsupervised and deep learning techniques to real-world problems.
• Experience with GCP AI/ML services like Vertex AI, AutoML, and BigQuery ML.
• Experience with various DevOps functions and technologies (i.e. IaC with Terraform, CI/CD, automation tooling, etc.)
• Familiarity with MLOps tools and practices for model deployment, monitoring, and management.
• Excellent communication and interpersonal skills, with a consultative approach.
• Ability to work independently and as part of a team in a fast-paced environment.

Preferred

• Google Cloud Professional Cloud Machine Learning Engineer and/or Cloud Engineer
• Experience with GCP security tools and best practices.
• Experience in data architecture, data engineering, and analytics in areas such as performance optimization, pipeline integration, infrastructure configuration, etc.
• Experience with containerization technologies like Docker and Kubernetes.
• Familiarity with Agile methodologies.

What You'll Do:

• Lead the end-to-end design, development, and deployment of enterprise-level Machine Learning solutions by building and integrating AI/ML pipelines using Google Cloud's Vertex AI platform and other relevant tools, ensuring seamless data collection, preprocessing, model training, evaluation, and alignment with the overall data architecture.
• Provide thought leadership and technical expertise in designing, building and optimizing end-to-end data pipelines, from data extraction and transformation to loading and visualization
• Leverage AutoML, Gemini, and other pre-built AI solutions to deliver quick wins and demonstrate value to clients.
• Collaborate with business stakeholders, data engineers, data scientists and other teams to understand data requirements, use cases, business objectives and integrate data pipelines with AI/ML models.
• Implement MLOps practices to ensure the reliability, scalability, and maintainability of AI solutions.
• Develop compelling customer demos and workshops showcasing the capabilities of GCP's AI/ML services alongside the Solutions Architect.
• Collaborate with the Solutions Engineering team to develop and maintain Infrastructure as Code (IaC) for AI/ML models.
• Create and maintain technical documentation, run books, code and best practices for data and machine learning engineering on the GCP platform.
• Contribute to the productization of AI/ML solutions, enabling seamless integration and deployment.
• Provide client presentations to review project design, outcomes and recommendations
• Participate in client workshops and meetings, providing technical expertise and guidance on AI/ML capabilities.
• Stay current on the latest AI/ML trends and technologies, particularly within the GCP ecosystem.

What Skills Will Help You Be A Successful Nerd?

• Strong communication skills: Able to effectively explain technical decisions to non-technical stakeholders.
• Process improvement: Experienced in identifying process pain-points and taking ownership of refining processes to completion.
• Collaborative Problem Solver: Able to take initiative to understand a problem and make critical decisions to solve for next actionable steps
• Client interaction: Comfortable interacting with clients, including light client management, conducting technical demos, and collaborating closely with technical stakeholders from the client.
• Risk assessment and communication: Proven ability to clearly communicate the risks, complexity, and timeline impacts of newly added product features or scope.

Are We the Right Fit For You?

The best way to get the scoop on whether Nerdery is the right place for you is to chat with current Nerds.  We would be delighted to have a conversation with you and share insight into what it’s really like to work at our organization and if it’s a place where you can thrive.  Our interview process will provide you ample opportunity to talk with other team members and assess whether the role is a good fit for your next chapter.  Take the first step and apply today – our Talent Advocates will then reach out to you to get the ball rolling!

Must be legally authorized to work within the country of employment without sponsorship for employment visa status.

Nerdery is an equal opportunity employer and complies with all applicable federal, state and local fair employment practice laws. Nerdery strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, sexual orientation, gender (including gender nonconformity and status as a transgender or transsexual individual), pregnancy, marital status, familial status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, membership or activity in a local human rights commission, status with regard to public assistance or any other characteristic protected under applicable federal, state or local law. All employees, other workers and representatives of Nerdery are prohibited from engaging in unlawful discrimination. Nerdery will ensure that all employment practices are free of such discrimination. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment or recruitment advertising, selection, layoff, disciplinary action, termination, compensation, benefits, selection for training, including apprenticeship and other terms and conditions of employment. Nerdery will also provide reasonable accommodation to applicants and employees with disabilities pursuant to all applicable laws.

Nerdery will never request a chat interview. All interviews are conducted either in person or through Google Meets. Additionally, Nerdery exclusively uses email addresses ending with @‌Nerdery.com

If you have questions about any correspondence you receive regarding an opportunity at Nerdery, please reach out to recruiting@nerdery.com.