Data Science
Role details
Job location
Tech stack
Job description
Research Operations Leadership Kubernetes TensorFlow Scalability Data Science Communication Deep Learning Microsoft Azure Problem Solving Data Structures Computer Vision Machine Learning Docker (Software) Edge Intelligence Influencing Skills Business Valuation Federated Learning Amazon Web Services Time Off Management Predictive Analytics Technical Engineering Full Stack Development Artificial Intelligence Large Language Modeling Business Transformation C (Programming Language) C# (Programming Language) C++ (Programming Language) Java (Programming Language) Machine Learning Algorithms Python (Programming Language) JavaScript (Programming Language) Natural Language Processing (NLP) Generative Artificial Intelligence PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Transformer (Machine Learning Model), Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives., Research Operations Leadership Kubernetes TensorFlow Scalability Data Science Communication Deep Learning Microsoft Azure Problem Solving Data Structures Computer Vision Machine Learning Docker (Software) Edge Intelligence Influencing Skills Business Valuation Federated Learning Amazon Web Services Time Off Management Predictive Analytics Technical Engineering Full Stack Development Artificial Intelligence Large Language Modeling Business Transformation C (Programming Language) C# (Programming Language) C++ (Programming Language) Java (Programming Language) Machine Learning Algorithms Python (Programming Language) JavaScript (Programming Language) Natural Language Processing (NLP) Generative Artificial Intelligence PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Transformer (Machine Learning Model) +0 Login | JoinContact
Requirements
C#, python, Generative AI, Machine learning, kubernetes, docker, mlflow, algorithms, Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python; C# experience preferred.
Two (2) + years' experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to business solutions.
Demonstrated success delivering at least one large-scale ML/AI application or service on a cloud platform (Azure, AWS, or GCP).
Strong understanding of ML algorithms, deep learning architectures, data structures, and applied optimization techniques.
Familiarity with MLOps practices and tools (Docker, Kubernetes, MLflow, etc.) for scalable AI/ML deployments.
Ability to translate research and experimental AI approaches into practical, enterprise-grade solutions.
Excellent analytical, problem-solving, and communication skills, with the ability to influence stakeholders and drive alignment.
Advanced degree (M.S. or Ph.D.) in AI, ML, Data Science, or a related field.
Experience with transformers, edge AI, federated learning, or real-time inference systems.
Track record of contributions to open-source AI projects, patents, or published research.
Employees located within a commutable distance of our hub offices (Irvine or Plano) are expected to work on-site four days per week.
Benefits & conditions
This is a Permanent position based out of Irvine, CA. Pay and Benefits
The pay range for this position is $170000.00 - $233000.00/yr.
Comprehensive benefits package including Medical/Dental/Vision Wellness program to support both mental and physical health Generous paid time off for both exempt and non-exempt positions Workplace Type