Senior AI Engineer
Lead the development of cutting-edge AI solutions that transform how enterprises leverage machine learning. Join our world-class team building the future of AI.
About This Role
As a Senior AI Engineer at SCIEN, you'll be at the forefront of artificial intelligence innovation, leading the development of cutting-edge AI solutions that transform how enterprises leverage machine learning. You'll work with state-of-the-art technologies including PyTorch, TensorFlow, and modern ML frameworks to build intelligent systems that solve real-world problems.
You'll collaborate with a world-class team of engineers, researchers, and product managers to design, implement, and deploy AI models that power everything from autonomous vehicles to intelligent business applications. This role offers the opportunity to work on groundbreaking projects that push the boundaries of what's possible with artificial intelligence.
Key Responsibilities
- Design and implement custom AI models for enterprise clients using PyTorch and modern ML frameworks
- Fine-tune Large Language Models (LLMs) for domain-specific applications and use cases
- Develop computer vision systems for autonomous vehicles and industrial applications
- Optimize AI models for production deployment with focus on performance and scalability
- Mentor junior AI engineers and lead technical architecture decisions
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Conduct research and experimentation with emerging AI technologies and methodologies
- Build real-time AI inference pipelines for high-throughput applications
- Implement MLOps practices for model versioning, monitoring, and continuous deployment
- Present technical findings and recommendations to stakeholders and clients
Requirements
Technical Skills
- 5+ years of hands-on experience with PyTorch, TensorFlow, and modern ML frameworks
- Strong background in deep learning, neural networks, and advanced ML algorithms
- Expert knowledge of computer vision, NLP, and multimodal AI systems
- Production deployment experience with AI/ML models in cloud environments
- Proficiency in Python, with experience in ML libraries (scikit-learn, pandas, numpy)
- Experience with MLOps tools and practices (MLflow, Kubeflow, Docker)
- Knowledge of distributed computing frameworks (Ray, Dask, or similar)
- Understanding of GPU programming and optimization techniques
Education & Experience
- PhD in Machine Learning, AI, Computer Science, or equivalent research experience
- 5+ years of industry experience in AI/ML engineering roles
- Proven track record of delivering AI solutions in production environments
- Experience leading technical teams and mentoring junior engineers
- Strong publication record or contributions to open-source AI projects (preferred)
- Experience with enterprise AI applications and client-facing technical roles
What We Offer
Competitive Salary
Above-market compensation with equity participation
Health & Wellness
Comprehensive health, dental, and vision insurance
Flexible Work
Remote-first culture with flexible hours and unlimited PTO
Professional Growth
$5,000 annual learning and development budget
Cutting-Edge Tech
Access to latest AI/ML tools and cloud resources
Team Events
Regular team building and professional networking events
Ready to Apply?
Join our world-class team and help us build the future of AI. We're looking for passionate engineers who want to make a real impact.