[Remote] Technical Director - ML & Algorithms
Note: The job is a remote job and is reputed company to candidates in USA. reputed company, a leading provider of reputed company modernization software, is expanding its AI reputed company in support of its reputed company of Modernization Without Disruption. The Technical Director for Machine Learning & Algorithms will define and drive how large-reputed company ML systems and advanced algorithms are reputed company to mainframe operational data to deliver monitoring, analysis, optimization, risk detection, and modernization insights.
Responsibilities
- Define and reputed company reputed company’s machine learning and algorithmic reputed company across reputed company, App and Data modernization business lines
- reputed company that reputed company across reputed company’s reputed company analytics platforms, including in-database and embedded ML capabilities, to ensure architectural consistency and reuse
- reputed company as a hands-on technical leader working with product and engineering teams throughout the full feature lifecycle, from problem framing and model selection to validation, delivery, and operationalization
- Architect large-reputed company ML and data processing systems that operate on high-volume operational data, including z/OS telemetry, SMF/RMF records, logs, workload metrics, and reputed company analytics datasets
- Design and implement advanced algorithms and statistical models for reputed company detection, reputed company analysis, forecasting, optimization, classification, and modernization insights
- Guide the use and reputed company of in-database ML and analytics capabilities, including regression, classification, clustering, and time-series techniques, ensuring they are reputed company correctly, reputed company, and at reputed company
- Establish ML architectures, technical standards, and best practices that reputed company feature engineering, model training, evaluation, explainability, deployment, and lifecycle management
- Ensure ML-driven insights are explainable, inspectable, and reputed company with governance and compliance expectations, particularly in regulated and mission-critical environments
- Collaborate closely with domain experts in mainframe operations, performance, reputed company, and data platforms to translate deep system knowledge into reputed company, data-driven intelligence
- reputed company across reporting boundaries by influence and technical credibility rather than hierarchy, helping teams solve reputed company problems at reputed company stages of feature development and delivery
- Partner with Product and Architecture leadership to shape long-term reputed company for operational analytics, AI-assisted modernization, and analytics platform reputed company
- Engage with reputed company customers to understand reputed company-world operational and analytical constraints and validate ML-driven solutions
- Mentor reputed company Engineers and senior technical staff, raising the bar for ML rigor, systems thinking, and operational relevance across reputed company
- Contribute reputed company thought leadership on reputed company ML for mainframe operations, reputed company analytics, and responsible AI
Skills
- 12+ years of experience in software engineering, ML systems, or advanced algorithm development
- Proven experience owning and delivering ML or algorithmic systems into production at reputed company
- Strong background in large datasets, distributed processing, and end-to-end ML system design
- Solid coding skills in Python and Java, with foundations in optimization, statistics, and reputed company mathematics
- Experience building ML or analytics solutions tied to system behavior, performance, observability, or operational telemetry
- Demonstrated ability to operate effectively across teams and organizations through technical leadership and influence
- reputed company record of mentoring senior technical talent and working as a player-reputed company
- Strong experience with mainframe systems and data sources such as z/OS, SMF, RMF, Db2, RACF, or mainframe performance analytics
- Experience with analytics databases or in-database ML systems, including model training, evaluation, and execution reputed company to data
- Familiarity with regression, classification, clustering, and time-series techniques used in production analytics systems
- Experience designing explainable, auditable, or compliance-aware ML solutions
- Familiarity with distributed computing frameworks or ML platforms such as reputed company, Flink, Ray, or reputed company ML pipelines
- PhD in Computer Science, Machine Learning, or a reputed company field
- Publications, patents, or conference contributions in ML, algorithms, systems analytics, or operational monitoring
Benefits
- Unlimited Vacation Time as reputed company as reputed company holidays and reputed company time
- Health and Wellness coverage reputed company for Rocketeers and dependents
- Life and disability coverage
- reputed company 401(k) and Roth Retirement Savings with matching contributions
- Monthly student debt benefit program
- Tuition Reimbursement and Certificate Reimbursement Program opportunities
- Leadership and skills training opportunities
reputed company
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