Job Description
We are Apex Innovations, a trailblazing technology firm dedicated to defining the future of computing. As we gear up for our 2026 Roadmap, we are seeking a visionary Senior AI & Machine Learning Architect to lead our infrastructure and model deployment strategies. If you are passionate about building scalable systems and pushing the boundaries of artificial intelligence, we want to meet you.
Why Join Us?
- Work on cutting-edge generative AI and neural network projects.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a collaborative office hub in downtown SF.
- Opportunity to mentor a team of elite engineers.
Key Responsibilities:
- Architect and implement high-performance machine learning pipelines for production environments.
- Lead the technical strategy and architecture for the 2026 product roadmap.
- Optimize deep learning models for speed, accuracy, and resource efficiency.
- Collaborate closely with data scientists and software engineers to deploy cutting-edge algorithms.
- Ensure robust security, scalability, and compliance standards across all AI infrastructure.
- Conduct architectural code reviews and mentor junior engineering talent.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
- 5+ years of experience in software engineering with a strong focus on AI/ML.
- Proficiency in Python, TensorFlow, PyTorch, and SQL.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
- Experience with containerization technologies (Docker, Kubernetes).
- Proven track record of delivering high-impact technical solutions under tight deadlines.
Responsibilities
- Architect and implement high-performance machine learning pipelines for production environments.
- Lead the technical strategy and architecture for the 2026 product roadmap.
- Optimize deep learning models for speed, accuracy, and resource efficiency.
- Collaborate closely with data scientists and software engineers to deploy cutting-edge algorithms.
- Ensure robust security, scalability, and compliance standards across all AI infrastructure.
- Conduct architectural code reviews and mentor junior engineering talent.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
- 5+ years of experience in software engineering with a strong focus on AI/ML.
- Proficiency in Python, TensorFlow, PyTorch, and SQL.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
- Experience with containerization technologies (Docker, Kubernetes).
- Proven track record of delivering high-impact technical solutions under tight deadlines.