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

Software Engineer II and Senior Software Engineer - AI Compilers

The AI Frameworks team at Microsoft develops the AI software used to train and d...

Location

United States , Mountain View

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Invent and implement innovative compiler features and advanced optimization passes, leveraging tools such as LLVM, MLIR, Torch Dynamo, and Triton
Develop code generation techniques for new hardware platforms
Design and develop cutting edge AI software in C++ and Python
Optimize AI workloads
Design new programming abstractions for AI
Collaborate broadly across multiple disciplines from hardware architects to ML developers
Identify requirements, plan and design solutions, estimate effort, and schedule deliverables
Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture
Embody Microsoft's culture and values

Fulltime

Senior Engineer / Lead Engineer - Virtual Engineering - AI ML

Sponsorship:  GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE....

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
5+ years in Automotive Manufacturing / Manufacturing Engineering Experience
1+ year experience in implementing AI/ML solutions in Automotive use cases
Should have executed at least 2 end-to-end projects in the text or Image data domain (from problem definition to deployment)
Strong programming skills in Python
Proficiency with ML/DL frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost
Solid understanding of statistics, probability, and linear algebra
Experience in data preprocessing, feature engineering, ETL and Exploratory Data Analysis (EDA)
Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML)
Knowledge of ML model evaluation

Job Responsibility

Collaborate with stakeholders to understand business problems in the in the Manufacturing Engineering and Operations space and solve them using ML methodologies
Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendation systems
Work with MLOps tools to automate workflows, CI/CD pipelines, and model monitoring
Evaluate, validate, and benchmark model performance using appropriate metrics
Deploy AI models into production environments in collaboration with IT/AI teams
Establish monitoring and maintenance processes to ensure model accuracy over time
Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
Document workflows, results, and lessons learned for organizational knowledge sharing
Stay updated on advancements in ML model evaluation, ML frameworks, end-to-end ML pipelines

Fulltime

Senior Software Engineer and Principal Software Engineer - Power Point AI Team

The PowerPoint team is embarking on an exciting new chapter - evolving a product...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of experience in backend service engineering, including work on high-scale infrastructures
Proficiency in one or more systems programming languages such as C#, C++
1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models
2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation
2+ years of experience building software for scale, performance, and reliability
Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category)

Job Responsibility

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience
Drive technical strategy and architecture decisions across multiple services, influencing partner teams and aligning with compliance and security requirements
Champion modern engineering practices, including AI-driven approaches, automation, and cloud-native patterns, across the full development lifecycle
Mentor and guide engineers, fostering technical excellence and continuous improvement in security, reliability, and performance
Collaborate cross-org to solve challenging technical problems, streamline processes, and reduce operational costs while improving live-site health
Design and implement scalable backend services optimized for machine learning workflows and large language model integration
Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences
Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale
Collaborate with product, ML, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance
Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience

Fulltime

Senior Software Development Engineer in Test (SDET) - AI Cluster Networking and Security

In AI infrastructure organization, simplifying large hardware deployments with p...

Location

India , Bengaluru

Salary:

Not provided

Cerebras Systems

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in engineering in computer science, electrical, AI, data science of related field
10+ years of experience in testing one of areas like enterprise software, distributed systems, datacenter hardware and software
Experience working in large enterprise or cloud networking infrastructure, high speed switches, routers, firewalls
Experience in qualifying networking vendor platforms like Juniper, Arista or Cisco and network test equipment like Ixia/Spirent
Experience in Datacenter technology like BGP, ECN, PFC
Experience testing networking security, compliance and firewalls
Strong coding skills in one of the programming languages like python, golang or C/C++
Strong debugging skills to debug issues in large distributed systems, hardware, and software. Experience with debugging tools like gdb, strace, networking monitors
Strong understanding of operating systems internals like memory management, file system working, security basics and performance
Strong understanding of datacenter layout, device performance characteristics like PCIe, networking and storage

Job Responsibility

Innovate and execute tests on cutting edge AI infrastructure
Define optimized test strategies and methodologies
Be a quick learner, adapt to new technologies
Build a strong understanding of how to break these large distributed systems challenge into smaller components that can be unit tested
Automate first approach - Aim for 100% automated tests to test all cluster features in areas of high availability, failure scenarios, performance, stress and security
Champion cluster security, reliability for uptime of 99.9999% and ease of use with observability
Test all components of AI cluster including but not limited to cluster software involving kubernetes, prometheus and grafana. Cluster hardware components like ML wafer scale accelerators, CPU runtime nodes, High speed swarmx interconnect, High speed data transfer of weights through memoryx interconnect
Qualify cluster networking solutions which consists of high-speed switches, routers and optics from various vendors
Qualify cluster security features including OS security, network security, cloud compliance user access and security certifications

What we offer

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs

Senior AI / ML Engineer

We are seeking an experienced Senior ML to join our team and engage in a diverse...

Location

United Kingdom , London

Salary:

Not provided

BMT

Expiration Date

Until further notice

Requirements

Be a UK sole national
Have held no other nationality at any time
Have continuously resided in the United Kingdom for the past five years
Be able to obtain and maintain full UK security clearance in accordance with government vetting standards
Provide satisfactory evidence of identity, nationality, and residency as part of the clearance process
Ability to select, train, and tune models (classical ML and deep learning) using frameworks such as PyTorch, TensorFlow, or scikit-learn
perform robust validation and error analysis
Experience containerising and deploying models (e.g., Docker), implement CI/CD, monitoring, drift detection, and automated retraining on Azure/AWS/GCP as appropriate
Strong engineering skills in Python (typing, testing, packaging)
experience with version control (Git) and code review workflows

Job Responsibility

Designing, building, testing, and deploying machine-learning systems, applying robust software engineering practices and an in-depth understanding of model behaviour, performance, and limitations
Selecting and preparing data pipelines for model training and inference
Implementing, training, evaluating, and optimising machine-learning models, continually improving them through iterative experimentation and additional data
Creating scalable and automated ML pipelines, including feature extraction, model training, validation, packaging, deployment, and monitoring
Applying standardised engineering and evaluation methods, producing clear technical documentation and communicating design choices, performance outcomes, and limitations
Evaluating data integrity and suitability for ML workflows, and advising on transformations, feature representation, and schemas needed for efficient training and inference
Applying engineering-focused data modelling and system design techniques to create, modify, or maintain ML-relevant data structures, feature stores, and associated components
Supporting alignment of data structures, model interfaces, and infrastructure components to ensure efficient and scalable ML system operation

What we offer

Private Medical (family coverage)
Enhanced Pension
18 weeks enhanced maternity pay (after a qualifying period of 1 year)
Family friendly policies
Committed to an inclusive culture
Wellbeing Fund – an annual fund for personal hobbies or interests
26 Days Annual Leave (plus bank holidays)
Holiday Trading
Retail Vouchers
Professional Subscriptions

Fulltime

Senior AI / ML Engineer

We are seeking a Senior AI / ML Engineer to help define and build how CTC levera...

Location

United States , Chicago

Salary:

175000.00 - 250000.00 USD / Year

Chicago Trading Company

Expiration Date

Until further notice

Requirements

7+ years of engineering experience with a strong track record of building and shipping developer tools, platforms, or internal tooling that achieved broad adoption
Demonstrated applied experience with LLMs and generative AI
Python proficiency required
C++ or low-latency systems experience is a strong plus
Background working in demanding technical environments - proprietary trading, hedge funds, or similar settings where reliability and developer productivity directly impact the business
Good judgment about where AI adds value and where it doesn't, in a space that moves quickly
Comfort with ambiguity and working closely with senior leadership
Strong communication skills across technical and non-technical audiences
Financial sector experience strongly preferred
Advanced degree in Computer Science, Machine Learning, Statistics, Engineering, or related field is a plus

Job Responsibility

Partner with leadership to shape CTC's AI strategy as the space evolves
Evaluate emerging AI technologies and make informed recommendations on what to adopt, what to watch, and what to skip
Build and ship AI capabilities that drive real adoption across engineering, quant, and trading teams
Work across the firm to understand workflows, identify high-value use cases, and build tools that fit how people actually work
Establish sensible practices for deployment, security, and governance as the function matures

What we offer

Generous time off
Insurance coverage
Paid parental leave
Free breakfast and lunch
Healthy snacks
Wellness reimbursement

Fulltime

Senior ML Platform Engineer, AI Platform

We are seeking a skilled and passionate ML Platform Engineer to join our team an...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

5+ years in backend software development
at least 2+ years focus on AI/ML Platform or MLOps infrastructure
deep expertise in MLOps practices, including automated deployment pipelines, model optimization, and production lifecycle management
proven experience designing and implementing low-latency model serving solutions
proficiency in Python
skill in writing high-quality, maintainable code
experience in design and development of large-scale distributed, high concurrency, low-latency inference, high availability systems
excellent communication and mentoring abilities
a relevant degree in Computer Science, Mathematics or related fields

Job Responsibility

Platform Development: Design, build, and maintain the end-to-end MLOps platform using Kubernetes and Cloud Services
Infrastructure as Code (IaC): Use Terraform or similar tools to manage, provision, and scale all ML-related infrastructure securely and efficiently
Pipeline Automation: Implement and optimize CI/CD/CT (Continuous Integration, Delivery, Training) pipelines to automate model training, testing, packaging, and deployment using tools like Argo and Kubeflow Pipelines
Serving Infrastructure: Build highly available, low-latency, and high-throughput model serving infrastructure
Observability: Implement robust monitoring, alerting, and logging solutions to track infrastructure health, model performance, and data/model drift
Tooling & Support: Evaluate, integrate, and support ML tools such as Feature Stores and distributed model training pipelines
Security & Compliance: Ensure platform security, implement RBAC (Role-Based Access Control), and manage secrets for sensitive data and production environments
Collaboration: Work closely with Data Scientists and ML Engineers to understand their needs and provide technical guidance on best practices for scaling their models

Fulltime

Senior and Principal Software Engineer - Core AI

Core AI is at the forefront of Microsoft’s mission to redefine how software is b...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Go, Java, or Python
OR equivalent experience
6+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems
Experience building AI or ML related applications
1+ years of technical engineering experience with machine learning or Artificial Intelligence (AI) systems

Job Responsibility

Design, implement and deliver AI services to support product offerings for large-scale agent observability
Collaborate closely with product management and partner teams to align technical direction with business goals
Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team’s DevOps culture
Engage with customers to gather feedback and resolve complex issues
Understand Microsoft businesses and collaborate with stakeholders towards cohesive, end-to-end experiences for Microsoft customers
Innovate on technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products
Embody our culture and values

Fulltime

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AI and ML Security Engineer, Senior

Job Responsibility

Requirements

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What we offer

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