About the Role
The role involves developing scalable AI solutions, integrating models into production environments, and working closely with cross-functional teams to deliver impactful technology.
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility for remote and in-office collaboration
Team
Collaborative team of engineers and researchers focused on cutting-edge AI development
Responsibilities
- Design and train machine learning models for real-world applications
- Optimize AI systems for performance, accuracy, and scalability
- Collaborate with software engineers to integrate AI components into products
- Evaluate emerging AI frameworks and tools for potential adoption
- Contribute to research initiatives to advance internal capabilities
- Monitor and troubleshoot deployed models in production
- Ensure compliance with data privacy and ethical AI standards
- Document model development processes and system architectures
- Support the creation of proof-of-concept prototypes
- Participate in code reviews and technical design discussions
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field
- Proven experience in machine learning and artificial intelligence projects
- Strong programming skills in Python or similar languages
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Familiarity with cloud platforms and containerization technologies
- Knowledge of natural language processing or computer vision is a plus
- Understanding of model deployment and MLOps practices
- Ability to analyze and interpret model performance metrics
- Solid foundation in algorithms, data structures, and software design
- Effective communication skills for technical and non-technical audiences
Preferred Skills
- Master’s or PhD in AI, Machine Learning, or related discipline
- Experience with large language models and transformer architectures
- Background in reinforcement learning or generative models
- Contributions to open-source AI projects
- Publication record in AI conferences or journals
- Experience with distributed training systems
- Knowledge of edge computing for AI inference
- Familiarity with data annotation pipelines and synthetic data generation
Available for qualified candidates requiring sponsorship
