Location: Remote Company: Smartan Fit
About Smartan Fit:
Smartan Fit is an innovative fitness tech company dedicated to transforming the gym experience for owners, trainers, and members. We leverage advanced technology to provide real-time insights and personalized recommendations, empowering the fitness community to achieve their goals more efficiently and effectively.Role Overview:
We are seeking a skilled AI Engineer to join our growing team. The ideal candidate will focus on designing, developing, and optimizing AI/ML models and architectures that power our fitness technology solutions. You will work closely with ML Ops and the team to transform research concepts into production-ready AI systems that deliver real business value. This role requires expertise in both AI model development and engineering practices to create robust, scalable AI solutions.Key Responsibilities:
- Research, design, and implement novel AI/ML model architectures for Smartan
- Develop efficient and scalable deep learning models from concept to production
- Optimize model architectures for improved performance, accuracy, and efficiency
- Collaborate with ML Ops to ensure smooth deployment and operation of AI systems
- Work with product teams to understand requirements and develop AI solutions
- Implement model evaluation frameworks and performance metrics
- Design experimentation frameworks for model improvement
- Research and integrate state-of-the-art AI techniques into our technology stack
- Create technical documentation for AI systems and model architectures
- Mentor junior engineers and contribute to building AI engineering best practices
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field
- 5-7+ years of experience in AI/ML engineering with focus on model architecture and optimization
- Strong expertise in deep learning frameworks (TensorFlow, PyTorch)
- Solid understanding of machine learning concepts, neural network architectures, and optimization techniques
- Experience in designing and implementing custom neural network architectures
- Proficiency in Python and software engineering best practices
- Experience with model optimization techniques and performance tuning
- Strong problem-solving skills and analytical mindset
- Excellent collaboration and communication skills
Preferred Qualifications:
- Experience with distributed training systems
- Knowledge of model compression and optimization techniques
- Familiarity with MLOps practices and tools
- Experience with real-time inference systems
- Understanding of AI system architecture and microservices
- Track record of converting research papers into practical implementations
- Experience with A/B testing and experiment tracking
- Background in time series analysis, recommendation systems, or reinforcement learning
What We Offer:
- Competitive salary and benefits package
- Opportunity to innovate in the fitness technology space
- A collaborative and supportive work environment
- Opportunities for professional growth and development
- Access to high-performance computing resources
If you’re passionate about Artuficial Intelligence and want to make an impact in the fitness tech industry, we’d love to hear from you! Send your resume and portfolio to [email protected] with the subject line “Application for AI Engineer Position.”