Kognitos is looking to solve the challenge of efficient fine-tuning, multimodal reasoning, and real-world adaptability in AI-driven automation.
Requirements
- 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.
- Experience with agentic workflows and multi-agent systems.
- Familiarity with cloud platforms and distributed computing frameworks.
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.
- Stay at the cutting edge of AI research, incorporating new advancements into Kognitos’ platform.
Other
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, or a related field.
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
