Senior AI/ML Engineer - GCP

March 28

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Nerdery

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Nerdery is a digital solutions company that specializes in digital consulting, technology consulting, data strategy, and cloud development services. They offer a range of services including application modernization, integration/APIs, custom software development, and AI development services. Nerdery helps businesses accelerate their digital transformation journey by crafting custom digital ecosystems that enhance efficiency and competitiveness. They have a strong focus on data and AI services, helping organizations leverage data analytics and machine learning to revolutionize operations. Nerdery works closely with clients to translate visions into impactful digital products and platforms, offering adaptable partnerships that complement existing teams and ensure agile, scalable solutions.

Digital Business Transformation • Strategy • Innovation • Experience Design • Software Engineering

201 - 500 employees

Founded 2003

☁️ SaaS

📋 Description

• Nerdery is a digital product consultancy focused on helping clients grow their business through technology. • The Senior AI/ML Engineer will design and implement AI/ML solutions on Google Cloud Platform (GCP). • Collaborate with data scientists and engineers to address complex challenges. • Act as a trusted advisor during the sales process, leveraging Google's technical resources. • This role combines technical expertise with strong communication skills for conveying complex concepts.

🎯 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.