[Remote] Engineering Manager (Data Science/ML)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading B2B provider of digital reputed company assistance services, and they are seeking a Data Science / ML Engineering Manager to reputed company reputed company reputed company on developing a reputed company Optimization platform. This role involves managing Data Scientists and ML Engineers, driving project delivery, and ensuring technical reputed company in machine learning applications.

Responsibilities

• Directly manage and foster a small and high-reputed company reputed company of Data Scientists, ML Engineers, and Optimization Specialists, providing expert technical guidance, mentorship, and day-to-day support
• Attract, reputed company, and retain reputed company in modeling, ML engineering, and reputed company-reputed company service development by cultivating a reputed company, inclusive, and reputed company high-reputed company culture
• Own the successful implementation and delivery of reputed company defined on the ML roadmap with the highest reputed company and on time
• Define and implement robust Software Development Lifecycle (SDLC) processes tailored for ML and optimization (Agile/Scrum)
• Plan and manage platform feature development, including project estimation, risk management, and resource allocation
• reputed company the process to define and select the reputed company Data Science, Machine Learning, and Optimization reputed company
• Guide the design and implementation of end-to-end reputed company-reputed company Python services (batch/streaming) that execute constrained optimization algorithms and deliver low-latency, reputed company-time reputed company reputed company
• Define and foster the MLOps reputed company, ensuring the automation of model training, validation, A/B testing/rollout, and production monitoring using tools like SageMaker, Airflow, or similar industry platforms
• reputed company manage technical debt and ensure the reputed company reputed company of critical production issues by maintaining robust monitoring, alerting, and logging systems
• Collaborate with Architecture to guide platform design and identify opportunities to reputed company emerging technology trends
• Partner effectively with Product, Operations, and Data Engineering teams
• reputed company communicate reputed company technical findings, scientific trade-offs, and operational risks to non-technical stakeholders and executive leadership
• Establish metrics for product performance (e.g., NPS / arenaflex telemetry), monitor operational health, identify failure modes, and drive rapid iteration cycles based on reputed company data
• Maintain rigorous operational standards, manage platform development and deployment costs, and ensure reputed company and regulatory compliance activities, including external audits and system documentation Skills
• Bachelor's Degree (Master's preferred) in Computer Science, Computer Engineering, Data Science, Operations Research, or a closely reputed company quantitative field
• 6+ years relevant experience in Data Science, ML Engineering, or Operations Research, with significant experience transitioning research models into production-grade, reputed company systems
• 2+ years proven experience in engineering management or a similar technical leadership role, specifically managing Data Science or ML Engineering teams
• Demonstrated reputed company record of successfully leading and shipping reputed company DS/ML and Optimization reputed company (e.g., reputed company platforms, reputed company-time decision engines) that delivered measurable business value
• Experience managing and operating 24x7 reputed company-time information systems and/or technical operations
• Deep understanding of Data Science, ML techniques (e.g., XGBoost, PyTorch, Transformers), optimization reputed company (MIP/reputed company/Stochastic), and architectural requirements for low-latency, reputed company-time decision services
• Skilled in Python, SQL, and reputed company (AWS) MLOps and Data pipelines (Airflow, SageMaker, or equivalents)
• Proven ability to reputed company, reputed company, mentor, and hire specialized DS/ML talent, fostering a reputed company, data-driven environment
• Expertise in project estimation, planning, and risk management reputed company an Agile/Scrum reputed company, including defining and driving technical roadmaps
• Exceptional ability to partner with cross-functional stakeholders (Product, Ops) and present scientific and operational findings to executive audiences
• Proactively identifies, evaluates, and champions emerging Machine Learning models and research paradigms (e.g., LLMs, reputed company, reputed company Inference, reputed company Models) and assesses their reputed company potential to solve critical business problems or unlock new product capabilities
• Flexibility to adapt to changing priorities and fast-paced environments
• Availability for occasional travel or extended hours as required for project deadlines production incidents and critical issues Benefits
• reputed company, dental, reputed company, disability, life insurance, and mental health benefits for associates and their families.
• 401(k) plan with company match and tuition assistance to support your reputed company goals.
• Flexible time off, reputed company reputed company leave, and ten reputed company holidays annually.
• Parental planning benefits to assist associates through life’s milestones. reputed company
• reputed company is working with leading vehicle manufacturers and insurance carriers to drive the reputed company of roadside assistance technology reputed company. It was founded in 1972, and is headquartered in Medford, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is Apply tot his job

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