Job Description
About Us: NeuroTech Solutions is at the forefront of the artificial intelligence revolution. We are building the next generation of generative AI systems designed to solve complex global challenges. As we accelerate our roadmap toward 2026, we are seeking a visionary Senior AI/ML Engineer to lead our core infrastructure and model development.
The Role: In this high-impact role, you will architect scalable machine learning pipelines, optimize deep learning models for production environments, and drive the technical vision for our 2026 product roadmap. You will work closely with cross-functional teams of researchers, product managers, and engineers to deliver cutting-edge AI solutions that redefine user experiences.
Why Join Us?
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Unlimited PTO and flexible remote work options.
- Access to the latest hardware and cloud resources for research.
Responsibilities
- Design, train, and deploy state-of-the-art deep learning models and LLMs for production use.
- Optimize existing AI models for inference speed, latency, and cost efficiency.
- Collaborate with MLOps teams to build robust CI/CD pipelines for model lifecycle management.
- Conduct rigorous A/B testing and model evaluation to ensure accuracy and reliability.
- Stay ahead of industry trends in AI research and integrate relevant advancements into our 2026 strategy.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or applied AI research.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of shipping production-grade AI models to thousands of users.
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning is highly desirable.