Data & AI Engineer at GE Appliances, a Haier company

, , India -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

0.0

Posted On

20 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, NLP, Computer Vision, Recommendation Systems, APIs, Microservices, Google Cloud Platform, Distributed Computing, Agent Space, Retrieval-Augmented Generation, Embeddings, Vector Search, LLM Integration, CI/CD, MLOps

Industry

Manufacturing

Description

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 together, we 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. Position Data & AI Engineer Location IND, 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 ask.recruiting@geappliances.com GE Appliances, a Haier company, 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, GE Appliances is a place of opportunity, a place to grow and a place to develop your career. Recruitment Fraud Notice

Responsibilities

The Data & AI Engineer will design, develop, and deploy AI-powered applications to enhance innovation and decision-making. Key responsibilities include building machine learning models, developing APIs, and implementing scalable training pipelines on Google Cloud Platform.