Applied ML Engineer

About Kognitos :
Kognitos is at the forefront of revolutionizing the trillion-dollar hyper-automation market. Our mission is to redefine how software is built and maintained by leveraging cutting-edge multi-agent automation platforms. We are pioneering advancements in agentic workflows , enabling machines to reason, plan, and execute tasks in a deterministic fashion.

Our approach up-levels debugging to English, bypassing traditional programming languages that struggle to adap

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.

• 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 note

You 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.

Equal opportunities provider

Kognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.