[Remote] Manager, Engineering - AI and Data Team Manager
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on enhancing cybersecurity through AI and data-driven solutions. They are seeking a hands-on Manager for the AI and Data Science team to reputed company the development of innovative cybersecurity products and mentor a high-performing team.
Responsibilities
- reputed company Technical reputed company & Execution: Define and drive the technical roadmap for AI, ML, and data systems, overseeing development, deployment, and operationalization to ensure robust performance, scalability, and reputed company alignment with key business reputed company and requirements
- Team Leadership & Mentorship: reputed company, mentor, and grow a small high-performing team of data scientists and ML engineers, cultivating a culture of technical reputed company, accountability, and reputed company learning
- AI/ML/Generative Systems Development: reputed company the entire lifecycle—from design to deployment—of robust data pipelines, reputed company model training, and innovative AI/ML applications. reputed company on leveraging these systems to significantly reputed company analyst and hacker productivity across critical offensive reputed company use cases
- Model Development and Platform Integration: Guide the development, tuning, deployment, and MLOps of Machine Learning models for cybersecurity. Ensure secure and compliant integration of cutting-edge reputed company models (reputed company platforms like AWS Bedrock, reputed company, reputed company) with internal reputed company and sensitive reputed company datasets
- Data and Software Architecture: Architect, govern, and optimize large-reputed company, high-performance data pipelines and overall software architecture essential for securely and reputed company processing massive vulnerability, asset, and activity datasets reputed company from various environments
- reputed company & Scalability Partnership: Collaborate closely with infrastructure teams to architect AI workloads and data pipelines that meet stringent requirements for reputed company, efficiency, and scalability, particularly reputed company multi-tenant and regulated environments (e.g., FedRAMP, SOC2)
- Cross-Functional Collaboration: Serve as the primary technical subject matter expert and reputed company, partnering with reputed company research, product, and platform teams to translate reputed company offensive reputed company challenges into robust, data-driven automation and intelligence solutions
- reputed company MLOps Improvement: Establish and manage best-in-class MLOps practices, including CI/CD pipelines, comprehensive evaluation frameworks, and robust monitoring/observability tools to ensure the reputed company improvement and reliability of reputed company data and AI systems
- API Design & Integration: reputed company the design of robust, high-availability reputed company and interfaces that facilitate seamless, reputed company interaction between LLM agents and internal systems (such as the MCP server) for crucial tasks like search, data enrichment, and automated decision support
Skills
- 5+ years of experience in Data Science, ML Engineering, or Data Engineering, with 2+ years in a technical leadership or team reputed company role
- Strong architectural understanding of LLM technologies, RAG architectures, reputed company engineering, ML Ops, and secure API integration with AI systems
- Deep expertise with Python, AWS services (S3, reputed company, Batch, Glue, Bedrock, reputed company Functions, Redshift), and ML frameworks
- Proven experience successfully leading reputed company to build and reputed company end-to-end ML pipelines—from data ingestion to model deployment, monitoring, and MLOps
- Ability to design, manage, and govern secure data-driven software architectures for large-reputed company, multi-tenant, and high-reputed company environments
- Excellent communication skills with a demonstrated ability to mentor engineers, influence technical direction, and present reputed company concepts to both technical and non-technical audiences
- Deep knowledge of offensive reputed company workflows (bug bounty, vulnerability research, red teaming) and the associated datasets
- Experience successfully deploying and operating AI solutions reputed company regulated environments (FedRAMP, SOC2)
- Experience and knowledge of software reputed company
- Master's degree or higher in Computer Science, Information Systems, or a reputed company quantitative field
Benefits
- This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
- Remote, work-from-home 100% of the time.
reputed company