Job Description
We are looking for a visionary Senior AI/ML Engineer to join Nexus Dynamics. As we scale our infrastructure for 2025 and beyond, you will be at the forefront of developing next-generation artificial intelligence solutions that power our core products. This role requires a blend of deep technical expertise in machine learning algorithms and the ability to lead high-impact engineering initiatives.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Models.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to shape the future of AI in the enterprise sector.
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models and pipelines.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers.
- Optimize model inference performance for real-time applications.
- Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
- Stay abreast of the latest research in AI/ML to integrate novel techniques into our stack.
- Ensure data privacy, security, and ethical use of AI models.
Qualifications:
- PhD or Master's degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in machine learning and deep learning.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems and cloud computing (AWS/GCP/Azure).
- Experience with MLOps tools (Docker, Kubernetes, MLflow).
- Proven track record of delivering production-ready AI products.
- Excellent communication and problem-solving skills.
Responsibilities
- Design, develop, and deploy scalable machine learning models and pipelines.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers.
- Optimize model inference performance for real-time applications.
- Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
- Stay abreast of the latest research in AI/ML to integrate novel techniques into our stack.
- Ensure data privacy, security, and ethical use of AI models.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in machine learning and deep learning.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems and cloud computing (AWS/GCP/Azure).
- Experience with MLOps tools (Docker, Kubernetes, MLflow).
- Proven track record of delivering production-ready AI products.
- Excellent communication and problem-solving skills.