Fine-tunes a large language model on proprietary data to improve its performance
Developing new machine learning models from scratch
Experiments with novel model architecture or algorithms
Conducts and publishes research on AI models
Research and develop cutting-edge AI models, including deep learning, reinforcement learning, and generative architectures
Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments
Prototype and refine novel algorithms to improve model performance, scalability, and interpretability
Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications
Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness
Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research
Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design
Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning
Mentor junior researchers and contribute to the development of internal AI knowledge bases and best practices
Partner with data engineering and product teams to integrate AI solutions into production systems
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so