Job Description
Are you passionate about the next frontier of Artificial Intelligence? At Nexus Dynamics, we are at the forefront of innovation, building the AI systems that will define the future. We are seeking a visionary Senior AI Engineer to join our elite engineering team in Austin, Texas.
In this pivotal role, you will architect scalable machine learning solutions, drive the development of next-generation generative AI technologies, and collaborate with world-class researchers and engineers. If you are driven by complexity and love turning data into actionable intelligence, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that impact millions of users.
- Competitive salary and equity package.
- Comprehensive benefits including health, dental, and vision.
- Flexible work environment with a focus on work-life balance.
Responsibilities
- Model Development: Design, develop, and deploy state-of-the-art machine learning models and algorithms using Python and deep learning frameworks.
- Infrastructure: Build and maintain robust MLOps pipelines for model training, validation, and productionization to ensure high availability and scalability.
- Cross-Functional Collaboration: Partner with data scientists, product managers, and software engineers to translate complex business requirements into technical AI solutions.
- Optimization: Continuously monitor and optimize existing models for latency, throughput, and resource efficiency in cloud environments.
- Research: Stay abreast of the latest advancements in NLP, Computer Vision, or Reinforcement Learning and implement novel techniques.
- Documentation: Create clear, concise documentation for models, APIs, and technical architecture to facilitate team onboarding and knowledge transfer.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent professional experience).
- Experience: 5+ years of professional experience in machine learning engineering or applied research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of neural network architectures and training methodologies.
- Cloud & Tools: Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Problem Solving: Strong analytical skills with a track record of solving complex engineering challenges.
- Communication: Excellent verbal and written communication skills with the ability to articulate technical concepts to non-technical stakeholders.