Data & AI Engineer

Data & AI Engineer

We are looking for a hands-on Data and AI Engineer to design, develop, and deploy AI-powered applications that accelerate innovation and decision-making across the enterprise. This role is ideal for an engineer passionate about turning cutting-edge research into production-grade systems, with a strong focus on leveraging Google Cloud Platform (GCP) and Agent space as strategic platforms for AI innovation.

How You'll Create Possibilities

Key Responsibilities:

• Build and fine-tune machine learning and deep learning models for NLP, computer vision, and recommendation systems.
• Develop APIs and microservices for model inference and seamless integration into enterprise applications.
• Implement scalable training and inference pipelines using distributed computing frameworks on Google Cloud Platform.

AI Engineering & Integration:

• Leverage Agent space to design, deploy, and manage intelligent agents supporting enterprise workflows.
• Apply retrieval-augmented generation (RAG), embeddings, and vector search techniques for enhanced model performance.
• Integrate open-source and commercial LLMs (e.g., OpenAI, Anthropic, Hugging Face models) into GCP-hosted applications.
• Implement monitoring, evaluation, and continuous learning pipelines for AI solutions.

Collaboration:

• Work closely with data scientists, platform engineers, and business teams to translate use cases into AI-powered solutions.
• Contribute to reusable libraries, frameworks, and best practices for enterprise AI development.

What You'll Bring to Our Team

Qualifications Required:

• 3–5 years of experience in AI/ML engineering or applied machine learning.
• Proficiency in Python (preferred) and experience with ML frameworks.
• Hands-on experience with Google Cloud Platform (BigQuery, Vertex AI, AI/ML pipelines, Pub/Sub, etc.).
• Strong understanding of embeddings, vector databases, and LLM integration.
• Experience deploying AI models in cloud or hybrid environments.

Preferred:

• Familiarity with Agent space and agentic orchestration frameworks.
• Hands-on experience with CI/CD for ML (MLOps).
• Strong problem-solving and collaboration skills.

Our Culture

Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities.

GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.

GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail to ask.recruiting@geappliances.com.