Job Description
We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite 2026 Strategy Team. Nexus Dynamics is pioneering the next generation of artificial intelligence, and you will be at the forefront of architecting the solutions that will define the industry standard for the upcoming decade.
In this high-impact role, you will bridge the gap between theoretical research and production-scale deployment. You will work directly with C-level executives to define the technical roadmap for 2026 and beyond, ensuring our platforms remain exponentially ahead of the curve.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Model (LLM) infrastructure.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Architect & Lead: Design and implement scalable, high-performance machine learning infrastructure tailored for the 2026 roadmap.
- Model Optimization: Refine existing models to improve accuracy, speed, and efficiency in real-time environments.
- Research & Development: Stay abreast of the latest breakthroughs in AI, specifically in reinforcement learning and neural architecture search.
- Team Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Strategic Deployment: Collaborate with product managers to integrate complex AI solutions into consumer-facing applications seamlessly.
- Risk Management: Identify potential biases and security vulnerabilities in data sets and models.
Qualifications
- Education: Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
- Experience: Minimum 5+ years of professional experience in building and deploying production-grade ML systems.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn. Experience with cloud platforms (AWS, GCP, or Azure) is essential.
- Programming: Strong algorithms and data structures background; experience with SQL and NoSQL databases.
- Leadership: Demonstrated ability to lead cross-functional teams and drive technical vision.
- Communication: Excellent written and verbal communication skills; ability to explain complex technical concepts to non-technical stakeholders.