Job Description
We are seeking a visionary Senior AI/ML Architect to join Nexus Dynamics and spearhead our strategic roadmap for the year 2026. In a rapidly evolving technological landscape, our team is building the infrastructure that will define the next decade of intelligent automation.
As a key architect, you will be responsible for designing scalable, high-performance machine learning systems that push the boundaries of what is currently possible. You will work directly with C-level executives to define the technical vision for our upcoming product launches, ensuring our solutions are future-proof and resilient.
Why Join Us?
- Work on cutting-edge Generative AI and Agentic workflows.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to shape the technology stack for the year 2026 and beyond.
Responsibilities
- Architect Design: Design and implement robust, scalable AI/ML architectures for complex, high-volume data environments, specifically tailored for the 2026 tech stack.
- Model Optimization: Lead initiatives to optimize deep learning models for reduced latency and increased throughput, ensuring real-time performance.
- R&D Leadership: Conduct research and proof-of-concept (PoC) development for emerging technologies, including Large Language Models (LLMs) and reinforcement learning.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Planning: Collaborate with product managers to translate business goals into technical requirements for future product iterations.
- Infrastructure: Oversee the integration of AI models into cloud-native infrastructure, ensuring security and compliance.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of professional experience in software engineering or data science, with a focus on AI/ML.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Language Mastery: Strong proficiency in English, both verbal and written, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Problem Solving: Proven track record of solving ambiguous problems and delivering innovative solutions in fast-paced environments.
- Tools: Experience with MLOps tools (MLflow, SageMaker) and cloud platforms (AWS, GCP).