The Opportunity: This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities. The position combines hands-on software engineering with system-level design, leading end-to-end development of scalable, cloud-based solutions that leverage LLMs, MLOps, and automation.
Working closely with cross-functional stakeholders, the role balances near-term delivery with long-term strategy while mentoring engineers and promoting strong engineering best practices.
What You Will Do:
Qualifications You Must Have: Typically requires a University Degree or equivalent experience and minimum 12 years prior relevant experience, or an Advanced Degree in a related field and minimum 10 years experience; 5+ years of experience with data science and machine learning; 5+ years of experience with the Software Development Life Cycle and software application/product development, including Python and the Python scientific stack.
Qualifications We Prefer: A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets; relevant experience with cloud computing platforms (AWS and/or Azure); organizational skills for knowledge, documentation, and data management.
Other helpful experience: SQL, Node, REST APIs, testing libraries. Experience building products that use Large Language Models (LLMs) and LLM APIs. Technical leadership experience, such as being the engineering lead for a program, product, or large project. Experience as part of a multi-disciplinary team. Experience with cloud computing.
For applications and inquiries, contact: hirings@openkyber.com
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