What You'll Work On:- Efficient Fine-Tuning: Develop innovative methods to optimize resource usage for training and fine-tuning models, ensuring high performance while maintaining efficiency.
- Agentic Workflows: Advance workflows that allow AI to reason, plan, and execute tasks with reliability and determinism, minimizing errors and runtime surprises.
- Multimodal Language Models: Work on multimodal use cases, combining text, images, and other data formats, to build adaptive, enterprise-ready automation tools.
- Scalable AI for Enterprises: Address the needs of enterprises by creating AI solutions that can remove 30% of operational expenses through large-scale adoption.
Responsibilities:- Design, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution.
- Optimize AI systems for multimodal applications, addressing real-world enterprise challenges.
- Innovate on fine-tuning techniques to maximize resource efficiency and improve model performance.
- Ensure AI systems are aligned to regulatory policies and deliver consistent business value.
- Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions.
- Stay at the cutting edge of AI research, incorporating new advancements into Kognitos' platform.
Requirements:- Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related field.
- Proven experience in developing and deploying machine learning models in production environments.
- Expertise in fine-tuning techniques for large-scale models and optimizing resource usage.
- Strong intuition working with LLMs
- Familiarity with multimodal language models and their enterprise applications.
- Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic
Preferred Qualifications:- Experience with agentic workflows and multi-agent systems.
- Knowledge of enterprise automation challenges and opportunities.
- Prior work in AI for non-consumer use cases, especially in large-scale enterprise environments.
- Familiarity with cloud platforms and distributed computing frameworks.
Why Join Kognitos?- Be part of a cutting-edge company solving some of AI's hardest problems.
- Work on impactful projects in a trillion-dollar hyper-automation market.
- Collaborate with a world-class team of engineers and researchers.
- Contribute to transformational changes in how enterprises operate.
Final noteYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
