Empower Your Future

Innovating with Google Cloud AI

Lotus Cloud partners with Google Cloud, recruiting machine learning engineers to develop, deploy, and innovate AI solutions using cutting-edge tools and techniques for transformative business outcomes.

Empowering AI Solutions

Join Our Expert Team

Collaborate with AI/ML engineers and data scientists to optimize and automate processes, leveraging generative AI and large language models for impactful solutions that drive business success.

Google Cloud Machine Learning Engineer

(AI/Gen AI - LLM, Hugging Face)
Location: Hybrid / Dallas, TX
Job Type: Full-time

About Lotus Cloud

Lotus Cloud is a Global Google Cloud Partner specializing in cutting-edge cloud and AI solutions. We empower businesses worldwide with state-of-the-art technology, focusing on Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). By pushing the boundaries of AI, we solve real-world problems and drive innovation. Join us and become part of a team shaping the future of AI-powered solutions across industries.

What You’ll Do

• Develop & Deploy: Build and implement machine learning models using Google Cloud AI/ML tools like Vertex AI, AI Platform, AutoML, and BigQuery ML.

• Innovate with Generative AI: Work with Generative AI techniques for text generation, image generation, and NLP.

• Fine-tune LLMs: Use frameworks like Hugging Face Transformers (BERT, GPT, etc.) to deploy Large Language Models.

• Collaborate: Work with a team of AI/ML engineers, data scientists, and cloud architects to create innovative AI solutions that meet business needs.

• Optimize & Automate: Implement CI/CD pipelines for efficient machine learning model deployment using Google Cloud DevOps practices.

• Stay Ahead: Keep up-to-date with the latest AI advancements, integrating techniques like Reinforcement Learning and Transfer Learning into your solutions.

Skills You Bring

• 5+ years of experience in Machine Learning and AI development, particularly with Google Cloud Platform (GCP).

• Strong expertise in Generative AI and LLMs, with frameworks like Hugging Face (BERT, GPT, etc.).

• Proficient in Python, TensorFlow, Keras, PyTorch, and Hugging Face Transformers.

• Experience deploying AI models on Google Cloud AI tools such as Vertex AI, AutoML, and BigQuery ML.

• Experience with MLOps, including CI/CD pipelines for model deployment.

• Strong analytical and problem-solving skills with the ability to turn complex data into actionable insights.

Bonus Skills

• Experience with Generative AI models like GPT, DALL·E, or Stable Diffusion.

• Knowledge of Dialogflow for AI-driven conversational interfaces.

• Google Cloud certifications such as Professional Machine Learning Engineer or Data Engineer.

Why Join Us?

• Innovative Projects: Be part of advanced AI projects across industries like healthcare, finance, and retail.

• Growth Opportunities: Fast-track your career with leadership roles and Google Cloud certifications.

• Work with Cutting-edge Technology: Use Generative AI, LLMs, and Hugging Face technologies to build real-world AI solutions.

• Flexible Environment: Enjoy a hybrid work model and flexible schedules.

• Collaborative Culture: Join a team where creativity, innovation, and collaboration drive success.

How to Apply

Interested? Apply by visiting our Careers page and submitting your resume and cover letter.

Have questions? Contact us at info@lotuscloud.tech.

AI Solutions

Innovative AI projects leveraging Google Cloud and machine learning technologies.

Generative AI

Utilizing generative AI techniques for text, image generation, and NLP applications.

Model Optimization

Fine-tuning large language models using frameworks like Hugging Face Transformers.

Contact Lotus Cloud Team

Get in touch for collaboration on Google Cloud AI/ML solutions and innovative projects. We look forward to hearing from you!

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Support

info@lotuscloudxyz.com