Job Description
The Opportunity:
Join Nexus Innovations as a Senior AI Architect & Machine Learning Engineer and be at the forefront of the technological revolution. We are seeking a visionary engineer to design the algorithms that will power our platform through 2026 and beyond. You will own the architecture of our core AI infrastructure, ensuring scalability, speed, and innovation.
Our mission is to redefine human-computer interaction through cutting-edge AI. In this role, you will bridge the gap between complex research and production-ready applications, working with a world-class team of researchers and engineers in the heart of Boston.
Why Join Us?
- Competitive salary package ($160k - $240k).
- Remote-first flexibility with access to our premium downtown Boston office.
- Equity and performance bonuses tied to company milestones.
- Access to cutting-edge hardware and research tools.
Core Responsibilities:
- Architect and deploy scalable machine learning models using Python and modern frameworks (PyTorch, TensorFlow).
- Lead the research and development of Generative AI and Large Language Model (LLM) applications.
- Collaborate with product and engineering teams to translate business requirements into technical AI solutions.
- Optimize existing models for performance, latency, and accuracy in high-volume environments.
- Mentor junior engineers and data scientists within the team, fostering a culture of innovation.
- Ensure data privacy, security, and ethical AI practices across all projects.
Qualifications:
- PhD or MS in Computer Science, Statistics, or a related technical field.
- 5+ years of professional experience in Machine Learning or Artificial Intelligence.
- Strong proficiency in Python, SQL, and cloud platforms (AWS/GCP/Azure).
- Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
- Deep understanding of Natural Language Processing (NLP) and Computer Vision.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
Responsibilities
- Architect and deploy scalable machine learning models using Python and modern frameworks (PyTorch, TensorFlow).
- Lead the research and development of Generative AI and Large Language Model (LLM) applications.
- Collaborate with product and engineering teams to translate business requirements into technical AI solutions.
- Optimize existing models for performance, latency, and accuracy in high-volume environments.
- Mentor junior engineers and data scientists within the team, fostering a culture of innovation.
- Ensure data privacy, security, and ethical AI practices across all projects.
Qualifications
- PhD or MS in Computer Science, Statistics, or a related technical field.
- 5+ years of professional experience in Machine Learning or Artificial Intelligence.
- Strong proficiency in Python, SQL, and cloud platforms (AWS/GCP/Azure).
- Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
- Deep understanding of Natural Language Processing (NLP) and Computer Vision.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.