Location: Plano, TX, United States

Join our dynamic AI team to design, develop, and deploy cutting-edge machine learning and AI solutions. You will work on scalable backend systems, real-time prediction models, and advanced automation flows, driving measurable business impact across multiple domains. You will also ensure that AI models and workflows adhere to cybersecurity best practices.

Key Responsibilities

• Lead the end-to-end design, development, and deployment of machine learning models and platforms, including LLMs, GANs, and recommendation engines.
• Design, develop, and fine-tune AI/ML models for real-time user behavior prediction, churn reduction, and customer experience automation.
• Apply RAG concepts, prompt engineering, anomaly detection, and changepoint detection to solve complex business problems.
• Develop and maintain scalable cloud-native applications on AWS, Azure, or Google Cloud.
• Build robust and scalable APIs for integrating machine learning models and backend systems.
• Collaborate with cross-functional teams for model experimentation and solution integration.
• Implement cybersecurity controls to safeguard AI workflows and ensure compliance.

Required Skills

• Formal training or certification and 3+ years of experience with AI models and workflows
• Advanced proficiency in Python and relevant libraries (Pandas, NumPy).
• Hands-on experience with frameworks and libraries including TensorFlow, PyTorch, BERT/LLMs, Hugging Face, OpenCV, scikit-learn, SKLearn, Pandas, Flask and React.
• Expertise in cloud and DevOps technologies, including AWS, Google Cloud, Azure, Docker, Kubernetes, Jenkins, and GitLab.
• Skilled in working with databases such as MySQL, MongoDB, PostgreSQL, and NoSQL systems.
• Strong background in data science and AI, covering deep learning, NLP, GenAI, RAG concepts, prompt engineering, and data visualization.
• Experience in secure coding, model validation, and data privacy.

• Excellent problem-solving, communication, and teamwork skills.

   

• Preferred Skills
• Experience with LLM fine-tuning, prompt engineering, and multi-modal AI integration.
• Familiarity with CI/CD pipelines and automation tools.
• Knowledge of frontend frameworks (React, Next.js).
• Certifications in AI/ML, Kubernetes, AWS, or cybersecurity.
• Exposure to cybersecurity frameworks and compliance standards.