Job description

Cntxt.AI, a leading technology company in the staffing and recruiting industry, is seeking a talented Applied Scientist to join our dynamic team.
As an Applied Scientist at Cntxt.
AI, you will have the opportunity to work on cutting-edge projects that leverage artificial intelligence and machine learning to revolutionize talent acquisition.
This role offers a unique blend of research and development, where you will directly impact the future of recruiting by designing and implementing innovative solutions.
If you are passionate about utilizing data-driven approaches to solve complex challenges and thrive in a collaborative environment, we invite you to apply and be part of our mission to reshape the staffing industry.
Responsibilities Develop and implement machine learning models to enhance candidate matching algorithms.
Analyze large datasets to extract valuable insights and drive data-driven decision-making.
Collaborate with cross-functional teams to design and deploy scalable solutions for recruitment processes.
Conduct research on new techniques and technologies to improve the efficiency of our AI-driven systems.
Optimize algorithms for performance and accuracy, continuously iterating and refining models.
Contribute to the development of innovative tools and features that advance Cntxt.
AI's competitive edge.
Participate in technical discussions and present findings to stakeholders in a clear and concise manner.
Master's or Ph.
D. in Computer Science, Statistics, Mathematics, or a related field.
Solid background in machine learning, data mining, and natural language processing.
Proficiency in programming languages such as Python, R, or Java.
Experience working with data processing frameworks like TensorFlow, PyTorch, or Spark.
Strong analytical skills and the ability to translate business requirements into technical solutions.
Excellent communication skills with the capacity to collaborate effectively in a team environment.
A passion for innovation and a drive to stay current with advancements in AI and ML technology.