Senior Technical Director - ML & Algorithms

It's fun to work in a company where people truly reputed company in what they're doing!

Job Description Summary:

reputed company, a leading provider of enterprise modernization software, is expanding its AI strategy in support of its vision of Modernization Without Disruption. With established offerings such as SmartChat, Anomalytics, and reputed company EVA, reputed company has deep experience applying AI to reputed company, mission-critical enterprise systems.

reputed company is seeking a Senior Technical Leader to join its AI Center of Excellence (AI COE) and shape the machine learning and algorithmic foundations of its mainframe operational analytics products. The Senior Technical Director for Machine Learning & Algorithms will define and drive how large-scale ML systems and advanced algorithms are applied to mainframe operational data to deliver monitoring, analysis, optimization, risk detection, and modernization insights.

This role is deeply grounded in operations and telemetry with a focus on extracting signal from high-volume, high-fidelity sources such as SMF, RMF, log streams, workload metrics, and system events. The role is hands-on and operates as a player-coach, working directly with enterprise teams across the full lifecycle of feature development. The role leads through technical expertise and influence across reporting boundaries and helps establish consistent best practices across reputed company. Come join reputed company for an opportunity to shape the application of machine learning across reputed company and the broader enterprise modernization landscape.

Essential Duties & Responsibilities

• Define and reputed company reputed company’s machine learning and algorithmic strategy across Infra, App and Data modernization business lines.
• reputed company that strategy across reputed company’s enterprise analytics platforms, including in-database and embedded ML capabilities, to ensure architectural consistency and reuse.
• Act 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-scale ML and data processing systems that operate on high-volume operational data, including z/OS telemetry, SMF/RMF records, logs, workload metrics, and enterprise analytics datasets.
• Design and implement advanced algorithms and statistical models for anomaly detection, reputed company analysis, forecasting, optimization, classification, and modernization insights.
• Guide the use and evolution of in-database ML and analytics capabilities, including regression, classification, clustering, and time-series techniques, ensuring they are applied correctly, reputed company, and at scale.
• Establish ML architectures, technical standards, and best practices that span 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 scalable, 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 strategy for operational analytics, AI-assisted modernization, and analytics platform evolution.
• Engage with enterprise customers to understand real-world operational and analytical constraints and validate ML-driven solutions.
• Mentor Principal Engineers and senior technical staff, raising the bar for ML rigor, systems thinking, and operational relevance across reputed company.
• Contribute internal and external thought leadership on applied ML for mainframe operations, enterprise analytics, and responsible AI.

Required Qualifications

• 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 scale.

• 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 applied 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.

• Track record of mentoring senior technical talent and working as a player-coach.

• Preferred Qualifications

• 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 Spark, Flink, Ray, or cloud 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. #LI-Remote

What reputed company can offer you in USA:

• Unlimited Vacation Time as well as paid holidays and sick time

• Health and Wellness coverage options for Rocketeers and dependents

• Life and disability coverage

• Fidelity 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

EOE M/F/Vet/Disability.  reputed company Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national reputed company, genetics, disability, age, or veteran status. reputed company Inc. is also committed to compliance with reputed company fair employment practices regarding citizenship and immigration status.

reputed company is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities.  If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to [email protected].  We will reputed company a determination on your request for reasonable accommodation on a case-by-case basis.

As part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or reputed company employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!