Red Cell Partners

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๐Ÿ“ Greater Washington D.C. Area, Los Angeles Area

๐Ÿงญ Full-Time

๐Ÿ’ธ 165000 - 185000 USD per year

๐Ÿ” Cybersecurity

  • 10+ years of experience in Product Management and/or Product Design.
  • 10+ years of experience working collaboratively with engineering and design teams.
  • Ability to thrive in a fast-paced environment requiring team members to wear multiple hats.
  • Exceptional critical thinking skills.
  • Demonstrated presentation and interpersonal skills.
  • Passion for delivering best-in-class user experiences.
  • Strong desire to protect national security interests.
  • Background in technically complex SaaS products.

  • Drive and articulate product vision for a category-defining product suite.
  • Operationalize the product vision by writing detailed product requirement documents (PRDs) and user stories.
  • Develop and manage a backlog of product ideas, prioritizing based on market needs.
  • Build and manage a world-class product team.
  • Work closely with engineering, design, and business colleagues to realize product vision efficiently.
  • Manage complex customer and partner interactions.
  • Integrate market analysis into product requirements.
  • Track and analyze metrics for monitoring progress.
  • Define and monitor product success metrics for both on-prem and SaaS products.

LeadershipCybersecurityProduct ManagementStrategyProduct design

Posted 2024-11-21
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๐Ÿ“ USA

๐Ÿ’ธ 175000 - 225000 USD per year

๐Ÿ” Technology-led companies in healthcare, cyber, and national security

  • Expertise in ML Model Training and Optimization: Proven experience with ML research, including designing and evaluating novel training methodologies.
  • Deep Knowledge of Language Model Fine-Tuning: Demonstrated proficiency in customizing and fine-tuning language models like GPT, BERT.
  • Proficiency in ML Frameworks: Strong understanding of machine learning frameworks like TensorFlow, PyTorch.
  • Programming Skills: Proficiency in Python with an emphasis on writing efficient, maintainable code.
  • Research Communication Skills: Ability to present complex technical concepts to various stakeholders.
  • Educational Background: A Masterโ€™s or PhD in Computer Science, Machine Learning, or a related field.
  • Impactful ML Solution Delivery: Proven track record of delivering impactful ML solutions.

  • Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques.
  • Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs).
  • Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models.
  • Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance.
  • Cross-Functional Collaboration: Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies.
  • Stay Current on ML Advancements: Actively monitor the latest research in ML and NLP.
  • Mentor and Guide Team Members: Provide technical guidance to junior researchers.

PythonMachine LearningPyTorchTensorflowCommunication SkillsCollaboration

Posted 2024-11-07
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๐Ÿ“ USA

๐Ÿ’ธ 175000 - 225000 USD per year

๐Ÿ” Technology, Machine Learning

  • Proven experience in developing, optimizing, and deploying ML systems in production environments.
  • Strong background in building and managing end-to-end training pipelines for ML models.
  • Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases.
  • Skilled in ML frameworks such as TensorFlow and PyTorch.
  • Proficient in Python with a focus on writing efficient, clean code for ML applications.
  • Clear ability to communicate complex ML concepts to both technical and non-technical audiences.
  • Bachelorโ€™s or Masterโ€™s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
  • A track record of delivering impactful machine learning solutions.

  • Develop and deploy robust ML models for real-world applications.
  • Design and implement scalable pipelines for model training and retraining.
  • Continuously fine-tune large language models to improve performance.
  • Implement feedback loops for iterative model improvement.
  • Collaborate with product and business teams to align ML solutions with requirements.
  • Stay current with ML research and apply insights to the infrastructure.
  • Mentor junior team members to foster technical growth.
  • Communicate ML methodologies and results to non-technical stakeholders.

PythonMachine LearningPyTorchData engineeringTensorflowCollaboration

Posted 2024-11-07
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๐Ÿงญ Full-Time

๐Ÿ’ธ 175000 - 220000 USD per year

๐Ÿ” Healthcare, cyber, and national security

  • Proven experience in designing and implementing scalable and secure cloud architectures leveraging AWS.
  • Experience in developing and integrating applications using AWS services and proficiency in an objective-oriented language.
  • Extensive experience with data design, optimization, and management.
  • Hands-on experience with Docker for containerizing applications and managing images and registries.
  • Proficient in Kubernetes for deploying and scaling containerized applications.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Proven ability to work with cross-functional teams.

  • Collaborate with the Director of Technical Architecture and business leaders to develop and implement strategies.
  • Facilitate communication between business stakeholders, developers, and technical roles for alignment.
  • Guide and mentor engineers and architects.
  • Act as a liaison between business and product teams and the technical delivery team.
  • Design scalable, secure, and robust architectural solutions.
  • Anticipate and mitigate potential technical debt.
  • Evaluate technical solutions for feasibility and risk.
  • Ensure comprehensive documentation of technical specifications.

Problem Solving

Posted 2024-10-19
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 170000 - 220000 USD per year

๐Ÿ” Healthcare technology

  • Proven experience in backend development, data structures, algorithms, and system architecture.
  • Authority in building and optimizing ETL pipelines with knowledge of healthcare data integration.
  • Hands-on experience with cloud infrastructure such as AWS, GCP, or Azure.
  • A creative mindset focused on delivering scalable and efficient solutions.
  • Strong desire to mentor and grow an engineering team.
  • Experience in startups or fast-paced environments.

  • Partner with co-founder to build Version 1 of the provider-enablement platform.
  • Lead the development of the data platform, backend infrastructure, and APIs.
  • Design and maintain ETL pipelines for diverse data integration.
  • Collaborate with cross-functional teams and mentor engineering staff.

AWSBackend DevelopmentLeadershipAgileETLGCPMachine LearningStrategyAlgorithmsAzureData StructuresCollaboration

Posted 2024-10-19
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๐Ÿ”ฅ Audit Manager
Posted 2024-10-19

๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 140000 - 175000 USD per year

๐Ÿ” Cybersecurity

  • 5+ years of audit experience, including at a rapidly scaling startup.
  • Bachelorโ€™s degree in computer science, Information Technology, or a related field.
  • Current CISA (certified information security auditor) or similar certification.
  • Expertise with regulations and standards such as FedRAMP, SOC 2, CMMC, NIST, and ISO.
  • Experience auditing security controls including VPN, data loss prevention, IDS/IPS, firewalls.
  • Familiarity with cloud computing and virtualization technologies.
  • Experience with governance, risk, and compliance (GRC) tools.
  • Strong leadership, analytical, and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Strong understanding of IT security principles.

  • Design and conduct detailed assessments and audits for FIPS and NIST 800-53 (Rev. 5), High category for FedRAMP High, and Trust Services Criteria for SOC 2.
  • Conduct regular security audits and assessments to identify vulnerabilities and recommend improvements.
  • Create and conduct quarterly internal audits focused on security effectiveness.
  • Identify weaknesses in systems and networks, create strategies to address them, and develop security measures.
  • Collaborate cross-functionally across internal teams and communicate complex technical topics.
  • Maintain positive relationships with clients and third parties for effective communication and reporting.
  • Stay current on compliance regulations and cybersecurity trends.

LeadershipCloud ComputingCybersecurityCross-functional Team LeadershipCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-10-19
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๐Ÿ’ธ 160000 - 190000 USD per year

๐Ÿ” Technology, healthcare, cyber, national security

  • Minimum of 4 years of experience in software development.
  • Proven experience in designing and implementing scalable, secure, and cost-effective cloud architectures.
  • Experience in developing and integrating applications using cloud services; proficiency in C# and Python is a plus.
  • Extensive experience with data design, optimization, and management.
  • Hands-on experience with Docker, including containerizing applications and managing Docker images and registries.
  • Proficient in Kubernetes for deploying, managing, and scaling applications.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Proven ability to work effectively with cross-functional teams.

  • Assist architecture team to develop and implement technical architectural strategies that align with business objectives.
  • Design scalable, secure, and robust architectural solutions tailored to business needs.
  • Establish standards to ensure technical and business process alignment.
  • Anticipate potential issues and develop strategies to mitigate technical debt.
  • Evaluate technical solutions for feasibility and risk.
  • Ensure comprehensive documentation of technical designs and their business justifications.
  • Oversee product delivery to meet architecture team's standards.
Posted 2024-10-17
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