Applied ML Engineer

This role involves designing, implementing, and deploying machine learning models for agentic workflows and enterprise applications.

• •If you’re passionate about tackling some of the hardest problems in AI and contributing to transformational change in enterprise automation, join us at Kognitos to build the future of software.
• •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.