Data & AI Engineer

Reposted 16 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Consumer Web • Other • Retail • Appliances
The Role
The Data & AI Engineer will design, develop, and deploy AI applications using GCP, focusing on machine learning models and APIs for enterprise solutions.
Summary Generated by Built In

At GE Appliances, a Haier company, we come together to make “good things, for life.”  As the fastest-growing appliance company in the U.S., we’re powered by creators, thinkers and makers who believe that anything is possible and that there’s always a better way.  We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.  

The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities: we come togetherwe always look for a better way, and we create possibilities

Interested in joining us on our journey? 

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.PositionData & AI EngineerLocationIND, Bangalore, KAHyderabad (SAL) IN

How You'll Create Possibilities

Key Responsibilities:

Model Development & Deployment

  • 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.
This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices.
By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy.

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 [email protected]

Skills Required

  • 3-5 years of experience in AI/ML engineering or applied machine learning
  • Proficiency in Python 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

GE Appliances Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Appliances and has not been reviewed or approved by GE Appliances.

  • Healthcare Strength Healthcare Strength: Health insurance and on-site wellness resources are presented as strong aspects of total rewards, with medical, dental, vision, and mental health support seen as valuable inclusions.
  • Retirement Support Retirement Support: The 401(k) with company matching is highlighted as a solid pillar of compensation, reinforcing long-term financial security for many roles.
  • Leave & Time Off Breadth Leave & Time Off Breadth: Paid time off, holidays, sick time, volunteer time, and paid parental leave provide a broad leave framework that adds meaningful value beyond base pay.

GE Appliances Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Lousville, KY
4,316 Employees
Year Founded: 2002

What We Do

GE Appliances, a Haier company and Affiliates (GEA), is more than a place to work. We imagine, design and build some of the world's best appliances. Our people strive to improve themselves, the company and the community—building challenging and rewarding careers along the way. We value diversity, teamwork, innovation and lean manufacturing. We work with some of the best people in the world who take pride in our products and thrive on challenges. More than a place to work, it is a place of opportunity, a place to grow and a place to develop your career.

Similar Jobs

S&P Global Logo S&P Global

Data Engineer

Fintech • Analytics
In-Office
Hyderabad, Telangana, IND
26747 Employees
40K-120K Annually

Navitas Business Consulting Logo Navitas Business Consulting

Data Engineer

Software • Consulting • Cybersecurity
In-Office
Hyderabad, Telangana, IND
84 Employees

Turing Logo Turing

Artificial Intelligence Engineer

Artificial Intelligence • Software
In-Office
5 Locations
1401 Employees
In-Office
Hyderabad, Telangana, IND
40384 Employees

Similar Companies Hiring

Milestone Systems Thumbnail
Artificial Intelligence • Other • Security • Software • Analytics • Big Data Analytics
Lake Oswego, OR
1500 Employees
Fairly Even Thumbnail
Hardware • Other • Robotics • Sales • Software • Hospitality
New York, NY
30 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account