Design and Build ML Models for generative tasks, such as text generation and image synthesis
Optimize Generative AI Models for performance enhancements
Prepare and manage datasets, handle augmentation, and create synthetic data
Train large-scale generative models; fine-tune pre-trained models for specific use cases
Evaluate the model’s performance using various metrics and iterate on design
Collaborate with cross-functional teams to integrate ML models into production systems
Conduct research experiments and build prototypes to test new algorithms
Deploy generative models into production environments ensuring scalability and reliability
Stay updated with trends in generative AI and machine learning

Requirements

12+ years in cloud software development
5+ years specializing in AI and Machine Learning
Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field
Technical expertise in generative AI models (e.g. GPT, VAEs, GANs, Transformer architectures)
Proficiency in deep learning frameworks: TensorFlow, PyTorch, JAX
Programming: Python (NumPy, Pandas, Scikit-learn), plus Java, Go, C/C++, R
Experience in training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E)
Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops (Docker, Kubernetes)
Strong coding standards and development practices
Ability to mentor and lead system design

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learninggenerative AI modelsdeep learning frameworksPythonJavaGoC/C++Rtraining large-scale modelsfine-tuning models

Soft Skills

mentoringleadershipcollaborationcommunicationproblem-solvingresearchdesign iterationperformance evaluationscalability focusreliability focus

Certifications

Bachelor's degreeMaster's degreePh.D.