Senior AI/ML Engineer

• Design, develop, and deploy advanced AI models with a focus on generative AI
• Work with extensive and complex data sets, performing tasks such as cleaning, preprocessing, and transforming data
• Collaborate with cross-functional teams to identify project objectives and create solutions using generative AI tailored to business needs
• Implement, fine-tune, and scale generative AI models in production environments
• Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment
• Stay informed about the latest advancements in generative AI research, techniques, and tools
• Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or a related field
• 5-8 years of experience in machine learning
• 2+ years in designing and implementing generative AI models or working specifically with transformer-based models
• Proficiency in Python
• Experience in libraries and frameworks central to generative AI, such as Hugging Face Transformers, PyTorch, and TensorFlow
• Strong understanding of transformer architectures, language models, and generative modeling techniques
• Expertise in data processing techniques for training large language models
• Familiarity with ML Ops practices and tools
• Experience with cloud platforms (AWS, GCP, Azure) and GPU/TPU resources
• Strong foundation in machine learning algorithms, deep learning, generative AI techniques
• Knowledge of SQL for data handling and retrieval
• Experience with data preprocessing, feature engineering, and data transformation
• Knowledge of model evaluation metrics and techniques for generative models
• Strong analytical and problem-solving skills
• Excellent communication skills
• Collaborative mindset

Relevant Ph.D. or research experience in generative AI is a plus

• Opportunity to work on impactful technical challenges with global reach
• Vast opportunities for self-development, including online university access and knowledge sharing opportunities
• Sponsored Tech Talks & Hackathons
• Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
• Supportive work environment with forums to explore passions beyond work