[Remote] Data Platform Engineer

Note: The job is a remote job and is open to candidates in USA. Data Based Development Systems is seeking a Data Platform Engineer for a senior technical leadership position responsible for integrating and delivering production-grade AI and machine learning capabilities. The role involves hands-on software engineering, system-level design, and mentoring engineers while balancing immediate delivery with long-term strategy.ResponsibilitiesCollaborate with technical leadership, product managers, program/project managers, and business stakeholders to support the team as we bring advanced data capabilitiesBe the system integrator for APIs, SDKs, and other automation activities: lead multi-disciplinary efforts to bring advanced AI/ML capabilities through production software and cloud engineering, including generative AI, AIOps, GenOps, MLOps, and ML-augmented engineering. This includes ensuring that capabilities are designed, implemented, maintained, observed, and supported from end-to-endMaintain both high level and low-level views of technical systems and coordinate with teams and subject matter experts from other disciplines to realize successful realizationDesign, write, test, and deploy production quality software capabilities that are maintainable, automated (CI/CD), scalable, observable, organized, and readable. Ensure best practices are maintained, including quality and CI/CD automationAdvise technical support and building of user documentationMentor early and mid-career team members, supporting their ascension to senior and lead rolesSkillsTypically 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' experience5+ years of experience with data science and machine learning5+ years of experience with the Software Development Life Cycle and software application / product development, including Python and the Python scientific stackA flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsetsRelevant experience with cloud computing platforms (AWS and/or Azure.)Organizational skills for knowledge, documentation, and data managementOther helpful experience: SQL, Node, REST APIs, testing librariesExperience building products that use Large Language Models (LLMs) and LLM APIsTechnical leadership experience, such as being the engineering lead for a program, product, or large projectExperience as part of a multi-disciplinary teamExperience with cloud computingCompany OverviewA privately-held IT company located in Glastonbury, CT, serving companies big and small. It was founded in 1987, and is headquartered in Glastonbury, Connecticut, USA, with a workforce of 51-200 employees. Its website is http://www.dbds.com/.