Senior AI/ML Engineer (GCP)

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 wi