AI and ML Security Engineer, Senior Job at Booz Allen Hamilton (Fort Meade)

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
Proven experience delivering reliable and scalable infrastructure in production
Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
Strong communication skills and ability to collaborate across teams

Job Responsibility

Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
Contribute to technical strategy and architecture discussions within the team
Mentor and support other engineers through code reviews, design discussions, and technical guidance

What we offer

medical, dental, vision, and 401(k)

Fulltime

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset
Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Senior AI/ML Engineer

Barbaricum is seeking a highly experienced Senior AI/ML Engineer to support Soft...

Location

United States , Crane

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Secret Clearance (Top Secret preferred)
Bachelor’s degree in Computer Science, Engineering, or related technical discipline (Master’s preferred)
10+ years of progressive experience in AI/ML engineering, software development, or applied data science
Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments
Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow)
Strong background in software and cyber engineering principles, including system hardening, secure coding, and vulnerability mitigation
Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders
DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained

Job Responsibility

Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions
Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications
Conduct rigorous testing and evaluation of AI/ML performance against operational datasets
Analyze test data to identify model strengths, weaknesses, and mission relevance
Refine and optimize systems to ensure robustness, scalability, and cyber resilience
Troubleshoot complex system challenges and provide technical guidance for deployed solutions
Deliver comprehensive documentation and technical reports to stakeholders
Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems

Senior Software Engineer II - AI/ML

As a Senior Software Engineer II at Aledade, we maintain, improve, and expand ou...

Location

United States

Salary:

Not provided

Aledade, Inc.

Expiration Date

Until further notice

Requirements

BS/BTech (or higher) in Computer Science, Engineering or a related field
6+ years experience as an engineer building full-stack web applications as part of a cross-functional team
3+ years of experience working with SQL or other database querying language on large multi-table data sets
3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
3+ years of experience coaching other engineers

Job Responsibility

Develop and implement scalable and performant solutions
Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes
Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work
Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures
Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation
Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable
Design and implement prompt engineering strategies to effectively guide generative AI models
Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization
Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications
Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI

Fulltime

Senior Engineering Manager- AI/ML

As the Senior Engineering Manager, you will lead by being a highly technical lea...

Location

United States

Salary:

Not provided

Aledade, Inc.

Expiration Date

Until further notice

Requirements

BS/BTech (or higher) in Computer Science, Engineering or a related field required
10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software
5+ years of managerial experience building and leading technical engineering teams
7+ years of experience in machine learning related technologies, with a strong preference for Python
Extensive experience in designing and implementing secure, scalable, and maintainable AI/ML platform architectures
Proficiency in distributed systems, microservices, containerization technologies (e.g., Docker, Kubernetes), model training infrastructure, orchestration tools, and MLOps principles
Sitting for prolonged periods of time
Extensive use of computers and keyboard
Occasional walking and lifting may be required

Job Responsibility

Build a high performing team by hiring and nurturing engineering talent
Strong technical leadership - drive technical solutioning and building roadmaps
Set aggressive and clear goals and remove all roadblocks for the team to achieve them
Working seamlessly and collaboratively with stakeholders across Aledade to achieve business outcomes
Work closely with engineering leaders to drive engineering excellence in our processes and systems

Fulltime

Senior Privacy Engineer

We are seeking a Senior Privacy Engineer to join our Data Platform and Security ...

Location

United States , San Francisco

Salary:

156000.00 - 234000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

5+ years of experience in privacy engineering, data protection, or security engineering
Passion for privacy, trust, and data protection in modern cloud platforms
Strong analytical and problem-solving skills, with the ability to solve complex privacy and technical issues autonomously
Excellent communication skills, with the ability to explain complex topics to both technical and non-technical stakeholders
Background in secure coding practices, code auditing, and privacy-preserving design patterns
Proficiency with Python or other scripting languages for automation and privacy tool development
Hands-on experience with cloud environments and integration into data pipelines
Awareness of data protection regulations and principles (GDPR, CCPA,) and the ability to translate legal guidance into technical processes.
Familiarity with privacy tech platforms (e.g. DataGrail, Transcend), Data Subject Requests, cookie and tracking technology management platforms (CMPs) is a plus
Experience embedding privacy into modern data platforms (CDPs, Snowflake, Databricks, analytics tools, AI/ML workflows) is highly beneficial.

Job Responsibility

Embed Privacy by Design: Strengthen and operationalize our Privacy by Design program across systems, integrations, pipelines, and applications for B2B and B2C products and services
Investigate & Remediate Incidents: Analyze privacy and security incidents, perform root cause analysis, and drive remediation to prevent recurrence
Conduct Risk Assessments: Assist in privacy impact assessments for new products or data uses and risk reviews to identify vulnerabilities in our platforms, APIs, and ML Pipelines etc
Optimize Privacy Controls: Design and implement advanced controls for data classification, access management, encryption, anonymization, and pseudonymization
Provide Guidance & Enablement: Prescribe guidance and techniques for data anonymization and pseudonymization to the Data Engineering team, enabling the ML team to develop privacy-preserving models
Collaborate Cross-Functionally: Partner with security, legal, IT, engineering, and AI teams to align on regulatory compliance and technical implementation
Support Compliance: Ensure global privacy compliance (GDPR, CCPA, etc.) across a modern data stack (Snowflake, Databricks, CDP, Looker, AWS etc)
Innovate Privacy Solutions: Drive the development of new privacy-preserving features, tools, and automation for data lifecycle management
Maintain Documentation: Build and update technical documentation covering data flows, tracking technologies, retention policies, and privacy controls

What we offer

Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Data Engineer Senior

We are looking for a highly skilled professional to lead the industrialisation o...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum of 5 years’ experience in MLOps, data engineering, or DevOps with a focus on ML/DL/LLM/AI agents in production environments
Strong proficiency in Python
Hands-on experience with CI/CD tools such as GitLab, Docker, Kubernetes, Jenkins
Solid understanding of ML, DL, and LLM models
Experience with ML lifecycle tools such as MLflow or DVC
Good understanding of model lifecycle, data traceability, and governance frameworks
Experience with on-premise and hybrid infrastructures
Excellent communication skills and ability to collaborate with remote teams
Proactive mindset, technical rigour, and engineering mentality
Willingness to learn, document, and standardise best practices

Job Responsibility

Analyse, monitor, and optimise ML models, tracking their performance
Design and implement CI/CD pipelines for ML models and data flows
Containerise and deploy models via APIs, batch processes, and streaming
Manage model versioning and traceability
Ensure continuous improvement and adaptation of AI use cases and ML models
Set up monitoring and alerting for model performance
Establish incident response protocols in collaboration with IT
Maintain dashboards and automated reports on model health
Implement validation frameworks for data and models (e.g., Great Expectations, unit tests, stress tests), in collaboration with Group Governance
Contribute to documentation and apply technical best practices

What we offer

Work in a constantly evolving environment
Contribute to digital impact
Opportunity for growth and development

Fulltime

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AI and ML Security Engineer, Senior

Job Responsibility

Requirements

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