Job Description
About Nexus Dynamics: We are pioneering the next generation of artificial intelligence infrastructure designed to shape the technological landscape of 2026 and beyond. We are looking for a visionary Senior AI/ML Engineer to join our elite research and engineering team. You will be at the forefront of developing scalable, robust, and innovative AI models that solve complex real-world problems.
Why Join Us?
- Work on cutting-edge projects that define the future of technology.
- Competitive compensation and equity package.
- Flexible remote-first culture with access to state-of-the-art equipment.
- Opportunities for professional growth in a high-growth environment.
We are committed to building an inclusive environment where diverse perspectives drive innovation.
Responsibilities
- Design and implement state-of-the-art machine learning models and algorithms focused on scalability and efficiency.
- Lead the full lifecycle of AI development, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Collaborate with cross-functional teams of data scientists, researchers, and product managers to translate business requirements into technical solutions.
- Optimize existing models for production environments, ensuring low latency and high throughput.
- Conduct rigorous testing and validation to ensure model accuracy, fairness, and robustness.
- Stay abreast of the latest advancements in the AI field and integrate new methodologies into our development pipeline.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Minimum of 5+ years of professional experience in machine learning engineering, with a proven track record of deploying successful models.
- Expert proficiency in programming languages such as Python, PyTorch, or TensorFlow.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Deep understanding of MLOps principles, CI/CD pipelines, and model versioning.
- Experience with Large Language Models (LLMs), Transformers, or Generative AI architectures is highly desirable.
- Excellent problem-solving skills and the ability to work independently in a fast-paced, dynamic environment.