About Kognitos
Automating business processes with generative AI
Key Highlights
- Headquartered in San Jose, California
- Offers Koncierge and BrainAI for process automation
- Focused on enterprise business solutions
- Team size of 11-50 employees
Kognitos, headquartered in San Jose, California, specializes in generative AI solutions that automate enterprise business processes. Their cloud platform features Koncierge, an intuitive interface for planning automated workflows, and BrainAI, a serverless technology designed for efficient execution...
π Benefits
Kognitos offers competitive salaries, equity options, flexible PTO, and a remote work policy to support work-life balance....
π Culture
Kognitos fosters a culture of innovation and agility, emphasizing a strong engineering focus and a commitment to leveraging AI for transformative busi...
Applied Scientist β’ Mid-Level
Skills & Technologies
Overview
Kognitos is hiring an Applied ML Engineer to develop innovative AI solutions for enterprise automation. You'll work on optimizing machine learning models and advancing workflows that enhance AI capabilities. This position requires a strong background in machine learning and programming skills.
Job Description
Who you are
You have a strong background in machine learning, with experience in developing and deploying models that solve complex problems. Your proficiency in Python and frameworks like TensorFlow and Keras allows you to innovate on fine-tuning techniques and optimize resource usage effectively. You are familiar with multimodal applications, combining various data formats to create adaptive solutions that meet enterprise needs.
You understand the importance of deterministic task execution and have experience in designing workflows that minimize errors and enhance reliability. Your collaborative spirit enables you to work effectively with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful AI solutions. You stay updated with the latest advancements in AI research, ensuring that your work aligns with regulatory policies and delivers consistent business value.
What you'll do
In this role, you will design, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution. You will optimize AI systems for multimodal applications, addressing real-world challenges faced by enterprises. Your responsibilities will include innovating on fine-tuning techniques to maximize resource efficiency and improve model performance. You will collaborate closely with cross-functional teams to ensure that the AI solutions you develop are aligned with business objectives and regulatory requirements.
You will also stay at the cutting edge of AI research, incorporating new advancements into Kognitosβ platform to enhance its capabilities. Your work will contribute to transformational change in enterprise automation, helping organizations reduce operational expenses significantly through large-scale adoption of AI technologies.
What we offer
At Kognitos, you will be part of a dynamic team that is passionate about leveraging AI to drive innovation in enterprise automation. We offer a collaborative work environment where your contributions will have a direct impact on the future of software. You will have opportunities for professional growth and development, as well as access to the latest tools and technologies in the field of AI. We value diversity and are committed to creating an inclusive workplace where everyone can thrive.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Kognitos.
Similar Jobs You Might Like
Based on your interests and this role
Applied Scientist
Nooks is hiring an Applied Machine Learning Engineer to implement ML features into their AI Sales Assistant Platform. You'll work with technologies like Python and Machine Learning to enhance sales use cases. This position requires prior industry experience in machine learning.
Machine Learning Engineer
Sweep is seeking an Applied Machine Learning Engineer to design and deliver ML-driven solutions. You'll work with Python and SQL to build, test, and deploy end-to-end ML systems in Tel Aviv.
Applied Scientist
PermitFlow is hiring an Applied Machine Learning Engineer to develop the ML foundation for their AI agents. You'll work with Python and machine learning frameworks like TensorFlow and PyTorch to design and deploy intelligent systems. This role requires experience in machine learning and AI applications.
Applied Scientist
Strava is seeking an Applied Machine Learning Engineer to design and implement innovative machine learning algorithms for their fitness app. You'll work with technologies like Python and TensorFlow to enhance user experiences. This role requires experience in machine learning and data analysis.
Machine Learning Engineer
Windmill is hiring a Machine Learning Engineer to design and deploy scalable machine learning models that enhance product features and optimize performance. You'll work with Python and TensorFlow in New York, focusing on algorithm optimization and cross-functional collaboration.