ai engineer

Booz Allen Hamilton

<div><p><b>The Opportunity:
</b></p><p>As an experience d engineer, you know that machine learning ( ML ) and AI evaluation are critical to understanding and operationalizing massive datasets in support of public health and safety missions. Your ability to evaluate, optimize, and deploy AI-driven systems makes you an integral part of delivering mission-focused solutions for scientists, analysts, and leadership teams.</p>
<p></p><p>In this role, you&rsquo;ll help define and implement scientific AI evaluation and enablement initiatives by translating advanced AI capabilities into practical, mission-specific workflows. You&rsquo;ll collaborate with a large community of ML engineers, data scientists, architects, and product teams to design scalable ML and Generative AI solutions, including AI agents, retrieval-augmented generation ( RAG ) pipelines, and enterprise AI evaluation frameworks.</p>
<p></p><p>You&rsquo;ll apply technical expertise across AI evaluation, retrieval optimization, memory and state management, and AI agent architecture to support real-time insights and decision-making. Your work will also contribute to enterprise MLOps capabilities, data governance standards, and ethical AI practices within regulated public health environments. This position is located in Atlanta, GA.</p>
<p></p><p><b>What You'll Work On:
</b></p><ul><li>Build and maintain scalable data pipelines using PySpark and Palantir Foundry to support AI, analytics, and scientific evaluation workflows.</li>
<li>Design and implement ML and Generative AI workflows, including AI agents, RAG pipelines, and AI evaluation frameworks.</li>
<li>Integrate advanced AI technologies such as Codex and Claude, to support mission-specific workflows, real-time insights, and decision-making capabilities.</li>
<li>Develop evaluation strategies covering model quality, retrieval optimization, benchmarking, and performance monitoring for deployed AI systems.</li>
<li>Design AI architectures supporting memory, state management, structured and unstructured public health data interaction, and scalable agent orchestration.</li>
<li>Establish data governance, privacy, anonymization, documentation, and ethical AI standards across AI / ML systems and public health data environments.</li>
</ul><p></p><p>Join us. The world can&rsquo;t wait.</p>
<p></p><p><b>You Have:
</b></p><ul><li>5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications, and designing, developing, and deploying ML models and AI solutions using Python</li>
<li>3+ years of experience with AI agents and AI evaluation strategies in enterprise environments</li>
<li>2+ years of experience with Deep Research evaluation met hodologies and AI evaluation workflows</li>
<li>Experience with ML frameworks such as TensorFlow or PyTorch, for production-grade model development</li>
<li>Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li>
<li>Experience with MLOps platforms such as MLflow and cloud environments, including Azure</li>
<li>Knowledge of public health, healthcare, or government data systems and asso cia ted governance practices</li>
<li>Ability to design and optimize AI systems involving retrieval workflows, memory or state management, and real-time decision-support capabilities</li>
<li>Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
</li><li>Bachelor's degree in CS, Engineering, or Data Science</li>
</ul><p></p><p><b>Nice If You Have:
</b></p><ul><li>Experience working in healthcare, biomedical, or government public health AI / ML environments</li>
<li>Experience with conversational AI, chatbot systems, or full-stack AI application development</li>
<li>Experience with containerization, CI / CD, orchestration, and production MLOps pipelines</li>
<li>Experience with Agile delivery environments and tools such as Jira</li>
<li>Experience writing technical documentation and presenting AI / ML solutions to various audiences</li>
<li>Experience integrating enterprise AI tools such as Codex, Claude, or similar AI enablement platforms</li>
<li>Knowledge of enterprise AI governance, compliance, and ethical AI frameworks</li>
<li>Knowledge of AI systems for retrieval, ranking, and scientific evaluation use cases</li>
<li>Ability to collaborate effectively in matrixed, cross-functional organizations</li>
<li>Master's degree in CS, Data Science, ML, or a related field</li>
</ul><p></p><p><b>Vetting:</b>
</p><p>Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .</p>
<p></p><p><b>Compensation
</b></p><p>At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p>
<p></p>Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
<p></p><p><b>Identity Statement
</b></p><p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p>
<p></p><p><b>Candidate AI Usage Policy
</b></p><p>AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided </b>.</p>
<p></p><p><b>Work Model
</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p>
<ul><li><p><b>Remote </b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p>
</li><li><p><b>Hybrid </b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p>
</li><li><p><b>Onsite </b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p>
</li></ul><p></p><p><b>Commitment to Non-Discrimination
</b></p><p>All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AL/ML Evaluation Engineer

Womble Bond Dickinson

<p></p><div><div><div><div><div><div><div><div><b>Job Category</b><b>:</b> Z - Technology
</div></div><div><div><b>Requisition Number</b><b>:</b> SOFTW001329</div></div></div><p></p><div><div><div><div><br>
</div></div></div></div></div><br>
</div></div></div><div><div><div><div><div><div>Posting Details</div>
<ul><div><ul><div>Posted: June 30, 2026
</div></ul></div><p>Full-Time
</p><div><div><div>Locations</div>
<div>
</div><div><p>Atlanta, GA 30309, USA</p><br>
</div>
</div></div></ul></div><div><div><div><div>Job Details</div>
</div><div><p>Description</p>
</div><div><div><p>Womble Bond Dickinson (US) LLP seeks a Software Engineer to join our team. The Software Engineer designs, builds, and operates enterprise applications, data pipelines, and AI systems across the Microsoft stack. The role spans full-stack application development, modern data platform engineering, and AI agent delivery &mdash; working across C#/.NET, Azure data services, and Azure AI Foundry to produce reliable, governed, production-ready solutions aligned to business and legal operations needs. The candidate may work remotely from any one of our Womble locations.</p>
<p><b>
RESPONSIBILITIES:</b></p>
<ul>
<li>Design, develop, and maintain web applications, APIs, and backend services using C#, .NET, Blazor, React, and TypeScript</li>
<li>Build and extend solutions within the Microsoft Power Platform ecosystem, including Power Apps, Power Automate, and Dataverse</li>
<li>Design and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory, Microsoft Fabric, Delta Lake, and Dataflow Gen2</li>
<li>Develop and maintain dimensionally modeled data warehouses supporting reporting and analytics across legal, finance, and operational functions</li>
<li>Integrate data from legacy SQL Server environments (SSRS, SSAS) and third-party systems using Azure Data Factory and Boomi</li>
<li>Architect and build AI agents and RAG pipelines using Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio &mdash; including document ingestion, vectorization, grounding, and prompt engineering</li>
<li>Integrate AI capabilities into user workflows via Microsoft Copilot, Teams, and Office add-ins; define agent invocation patterns, context management, and enterprise governance models</li>
<li>Implement observability, telemetry, and exception reporting across applications, data pipelines, and AI systems</li>
<li>Document data models, lineage, transformation logic, ETL workflows, and AI architecture decisions to ensure traceability and maintainability</li>
<li>Participate in sprint planning, architectural discussions, code reviews, and the firm's ongoing platform modernization strategy</li>
<li>Use Git and Azure DevOps for version control, release management, and collaboration</li>
</ul>
<p><b>REQUIREMENTS:</b></p>
<ul>
<li>Strong proficiency in C# and .NET for application and backend service development<br>
Hands-on experience with Blazor, React, and TypeScript for modern web development</li>
<li>5+ years of data engineering experience with Microsoft technologies; SQL Server and T-SQL expertise required</li>
<li>Experience with Microsoft Fabric, Azure SQL, Delta Lake, and Dataflow Gen2 Proficiency with ETL tools including Azure Data Factory, Synapse, and Boomi for third-party integration</li>
<li>Proven experience building or operating AI-enabled systems in production, including RAG pipelines and agent frameworks</li>
<li>Practical understanding of ML and generative AI concepts, including model limitations, responsible AI principles, and governance</li>
<li>Familiarity with medallion architecture, dimensional modeling, and enterprise data warehouse design</li>
<li>Understanding of data governance, security, and compliance in a legal context</li>
<li>Experience with low-code/no-code platforms including Microsoft Power Platform<br>
Proficiency with Git and Azure DevOps</li>
<li>Ability to explain technical decisions, AI behavior, and data architecture to non-technical stakeholders</li>
<li>Bachelor's degree in Computer Science or equivalent experience</li>
</ul>
<p>Compensation: The national average salary range for this role is $72,000 - $121,000. Starting salary will be determined based on location, qualifications, and experience.&rdquo;</p>
<p>
Candidates are not required to submit age-related information and may redact any personally identifiable information on their application materials including but are not limited to age, date of birth, and dates of attendance and date of graduation for educational institutions. This position does not have a fixed deadline. The posting will remain open until the position is filled and all necessary due diligence has been completed for the selected candidate.</p>
<p><b>
This position is subject to export control laws</b><b><i>.</i></b></p><br>
<p><b>
BENEFITS:</b></p>
<p>
Medical Insurance, Dental Insurance, Vision Insurance, Health Savings Account, Flexible Spending Accounts, Life insurance, Disability Insurance, Paid Parental Leave, 401(k) Plan, Paid Days Off/Vacation, Firm Paid Holidays</p></div>
</div></div><p></p><div><div><p>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</p></div></div></div></div></div></div></div></div>

Software Engineer

<div>AL/ML Engineer, Lead<p><b>
The Opportunity:</b></p><p>
As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support public health and safety. As an ML engineer on our team, you&rsquo;ll train, test, deploy, and maintain models that learn from data.</p><p></p><p>
In this role, you&rsquo;ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You&rsquo;ll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, enterprise architects, and product owners to deliver world-class solutions. You&rsquo;ll help design and develop enterprise ML operations frameworks, support mentorship and training initiatives, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems.</p><p></p><p>
Your advanced skills and technical expertise will guide clients as they navigate the evolving landscape of ML, Generative AI, AI agents, and retrieval-augmented generation (RAG) technologies. This position is located in Atlanta, GA.</p><p></p><p><b>
What You'll Work On:</b></p><ul><li>
Build and maintain complex data pipelines using PySpark and Palantir Foundry to support AI and analytical workloads.</li><li>
Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG pipelines for public health use cases.</li><li>
Develop robust AI evaluation strategies to ensure the quality, reliability, and performance of deployed AI solutions.</li><li>
Design AI architectures supporting agent memory, state management, retrieval optimization, and interaction with structured and unstructured public health data.</li><li>
Collaborate with cross-functional teams to translate mission requirements into scalable AI/ML solutions while maintaining technical documentation and governance standards.</li><li>
Define and enforce data quality, privacy, anonymization, auditing, and ethical AI standards in compliance with public health and government requirements.</li></ul><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li>
5+ years of experience designing, developing, and deploying ML models and AI solutions using Python</li><li>
5+ years of experience with Generative AI, LLMs, AI agents, or RAG applications in enterprise environments</li><li>
Experience developing AI evaluation strategies and working with MCP-enabled systems</li><li>
Experience with ML frameworks and libraries such as TensorFlow or PyTorch</li><li>
Experience with data engineering using PySpark, SQL, and Palantir Foundry, including Foundry AIP</li><li>
Experience with Prompt Buddy, Codex, Claude, or OpenEvidence in enterprise environments</li><li>
Experience deploying ML solutions at scale using MLOps tools such as MLflow, and cloud platforms such as Azure, Databricks, or Domino</li><li>
Ability to implement AI agent architectures, retrieval optimization, and memory or state management workflows</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</li><li>
Bachelor's degree in CS, Engineering, or Data Science</li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li>
Experience with open-source LLMs such as LLaMA, Gemma, or Phi</li><li>
Experience in deep learning, NLP, conversational AI, or computer vision</li><li>
Experience supporting healthcare, biomedical, or public health AI/ML initiatives and government public health data systems</li><li>
Experience with chatbot development or end-to-end AI application deployment</li><li>
Experience with containerization, orchestration, CI/CD, and full-stack ML application deployment</li><li>
Experience working in Agile environments using tools such as Jira</li><li>
Experience writing technical documentation and presenting technical solutions to broad audiences</li><li>
Ability to collaborate effectively in matrixed environments with cross-functional stakeholders</li><li>
Master&rsquo;s degree</li></ul><p></p><p><b>
Vetting:</b>
</p><p>Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AL/ML Engineer, Lead

NAVA TECH LLC

<p>Launch Your Career in Data Science. Are you passionate about data, analytics, and artificial intelligence but haven't yet had the opportunity to work as a Data Scientist? We are looking for ambitious technical professionals with a strong foundation in programming, problem-solving, and analytical thinking who are ready to transition into a Data Science career. Whether your background is in Software Development, Data Analytics, AI Engineering, Quality Assurance, Business Intelligence, or another technical field, this opportunity is designed to help you develop the skills and real-world experience needed to become a successful Data Scientist. Join our growing consulting practice and gain hands-on experience working on enterprise-level projects for Fortune 1000 organizations across industries such as Finance, Healthcare, Retail, Telecommunications, and Technology.</p><p><b>About the Role</b></p><p>This role is ideal for candidates who:</p><ul><li>Have a strong technical foundation</li><li>Know how to write code and solve problems</li><li>Have experience working in IT, software development, analytics, or related fields</li><li>Want to transition into Data Science</li><li>Are eager to learn Machine Learning, Artificial Intelligence, Big Data, and Cloud Technologies</li><li>Are you looking for a long-term career path with significant growth potential</li></ul><p><b>Responsibilities</b></p><p>Through hands-on project experience and mentorship, you'll gain exposure to:</p><ul><li>Data Science Methodologies</li><li>Machine Learning</li><li>Predictive Analytics</li><li>Generative AI</li><li>Data Engineering Concepts</li><li>Cloud Platforms (AWS &amp; Azure)</li><li>Big Data Technologies</li><li>Enterprise Data Solutions</li><li>Advanced SQL and Python Development</li></ul><p><b>Qualifications</b></p><p>Minimum Qualifications</p><ul><li>Master&rsquo;s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field</li><li>OR bachelor&rsquo;s degree with at least 2 years of professional technical experience</li></ul><p><b>Required Skills</b></p><ul><li>Experience coding in Python</li><li>Strong SQL skills</li><li>Understanding of object-oriented programming concepts</li><li>Strong analytical and problem-solving abilities</li><li>Excellent communication skills</li><li>Ability to learn new technologies quickly</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience with any of the following is a plus:</li><li>Data Analytics</li><li>Software Development</li><li>AI Engineering</li><li>Machine Learning</li><li>AWS</li><li>Azure</li><li>Databricks</li><li>PySpark</li><li>GitLab</li><li>Data Warehousing</li><li>Cloud Technologies</li><li>Statistical Analysis</li></ul><p>Pay: $35.00 - $42.00 per hour</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Relocation assistance</li></ul><p>Work Location: In person</p>

Jr Data Scientist

Georgia Tech

<div></div><div><div><div><div><div><ul><li>501085
</li> </ul></div><div></div><div><ul><li>Atlanta, Georgia
</li> </ul></div><div></div><div><ul><li>Machine Learning
</li> </ul></div><div></div><div><ul><li>Students: Undergraduate Student Asst. (SA)
</li> </ul></div></div><div></div><div><div><div>Add To Favorites
</div></div> <div></div><div>View Favorites
</div></div><div><h3 class="jobSectionHeader"><b>Overview:</b></h3>
<p>
The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.</p>
<h3 class="jobSectionHeader"><b>
Georgia Tech's Mission and Values</b></h3>
<p>
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:</p>
<p>
1. Students are our top priority.
<br>
2. We strive for excellence.
<br>
3. We thrive on diversity.
<br>
4. We celebrate collaboration.
<br>
5. We champion innovation.
<br>
6. We safeguard freedom of inquiry and expression.
<br>
7. We nurture the wellbeing of our community.
<br>
8. We act ethically.
<br>
9. We are responsible stewards.</p>
<p>
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.</p>
<h3 class="jobSectionHeader"><b>
Job Description</b></h3>
<p>
The Advanced Research in Computing and AI Division (ARCAID) within the Information and Communications Laboratory (ICL) seeks a Student Assistant in the role of Machine Learning Engineer starting Fall 2026. This position involves both the development of models at a high level and the implementation of those models in a laboratory setting.</p>
<p>
Duties include reading and understanding current research in specific areas of interest, using conventional tools and frameworks to train models and carry out experiments with them, and working at the interface between high-level programming and low-level hardware to deploy these models onto devices that perform real-time inference with streaming sensor data. Students will integrate feedback from laboratory experiments and will be expected to manipulate data sets that are simulated, received from others, or generated by sensor devices. Data curation and management skills are a plus.</p>
<p>
This opportunity is in-person, with offices located in the CODA building of Tech Square in Midtown Atlanta. The ARCAID division maintains a collaborative environment with student researchers of all levels interacting in a shared space.</p>
<h3 class="jobSectionHeader"><b>
Required Minimum Qualifications</b></h3>
<ul><li>Experience with Python</li>
<li>Familiarity with Pytorch</li>
<li>Knowledge of software engineering practice including tools like git</li>
<li>Familiarity with Linux and Bash</li>
<li>Exposure to basic networking tools and concepts</li>
<li>Familiarity with common tools and procedures in machine learning, from data collection and cleaning to training and inference</li>
<li>Coursework in machine learning</li>
</ul>
<p><b>Student Assistant</b></p>
<ul>
<li>Pursuing a Bachelor&rsquo;s degree in Computer Science, Mathematics, or another related STEM discipline</li>
<li>Must be registered for at least 6 credit hours with your university</li>
<li>3.5 or higher cumulative GPA</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Atleast one year of experience using Linux in a classroom or professional setting</li>
<li>Knowledge of networking concepts</li>
<li>Expertise using git and version control SAAS, such as Gitlab or Github, as demonstrated by knowledge of pipelines, actions, and the general CI work flow</li>
<li>Experience building and deploying software in a Linux cluster environment</li>
<li>Experience with Linux cluster management software like Slurm (preferred) or PBS and associated tools like Environment Modules</li>
<li>Exposure to working directly with edge hardware, ASICs, FPGAs, or other low-level hardware</li>
<li>Exposure to digital logic</li>
<li>Significant participation in machine learning projects, whether in a classroom or professional setting, and the ability to speak clearly to the technical aspects of those projects</li>
</ul><h3 class="jobSectionHeader"><b>Hours per Week</b></h3>
<p>
10&ndash;20 hours per week</p>
<h3 class="jobSectionHeader"><b>
U.S. Citizenship Requirements</b></h3>
<p>
Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.</p>
<h3 class="jobSectionHeader"><b>
Clearance Type Required</b></h3>
<p>
None</p>
<h3 class="jobSectionHeader"><b>
Housing and Relocation</b></h3>
<p>
Housing and relocation assistance are not available for this position.</p>
<div>
<h2 class="jobSectionHeader"><b>Equal Employment Opportunity</b></h2>
</div>
<p>The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.</p>
<p>
Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.<br>
<br>
<b>USG Core Values Statement</b></p>
<p>
The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.</p>
<p>
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.</p></div></div></div></div>

Machine Learning Student Assistant - Fall 2026 - ICL

Sargent & Lundy

<div>Description:
<div><b>
WORK LOCATION: This position is based on a hybrid work schedule and will require in-office work 3 days per week at the Sargent &amp; Lundy office in Peachtree Corners, GA.</b></div><div></div><div><br>
Our Grid business unit is seeking an experienced Lead EHV Substation Engineer.</div><div></div><div><br>
Responsibilities:</div><ul><li>
This position offers you the opportunity to work in a project team environment with other engineers and designers involved in the detailed electrical design and project management of distribution and transmission substation projects.</li><li>
As a Lead EHV Substation Engineer, you will take an active role in project conceptualization, work planning, and project execution for EHV substation projects up to 765kV</li><li>
Serve as a subject matter specialist in EHV substation physical design (500kV and above).</li><li>
You will work on challenging assignments that include investigating, trouble-shooting, and solving a wide variety of electrical engineering and design issues.</li><li>
As a Lead Substation Engineer, you will prepare or review reports and support project deliverables that present technical and project information in a clear and concise manner and meet client requirements and S&amp;L formats. Typical deliverables include: Facility Studies, General Arrangement, Equipment Plans and Sections, Foundation Plans, Grounding and Conduit Plans, Equipment Connection Details, Control Building Plans and Sections, and AC/DC system designs.</li><li>
Develop your career via peer-learning through sharing of knowledge with other experienced engineers by way of S&amp;L&rsquo;s systems of process and associated &ldquo;Communities of Practice.&rdquo;</li><li>
In addition, you may have the opportunity to travel to client sites as needed.</li></ul>
Qualifications:
<div><b>
We do not sponsor employees for work authorization in the U.S. for this position.</b></div><div></div><div><br>
Essential skills and experience:</div><ul><li>
This position requires a BSEE with a power systems or controls emphasis from an ABET-accredited engineering program.</li><li>
12 or more years experience with a focus on protection / control / telecommunications for high voltage substations; including design, installation, and coordination.</li><li>
3 or more years of experience with 500kV and/or 765kV substation design.</li><li>
Knowledge of physical design techniques, tools, and principles involved in production of technical plans, blueprints, drawings, and 3D models.</li><li>
Knowledge of the practical application of engineering science and technology, including the ability to relate various equipment to a technical design.</li><li>
Ability to prioritize work and manage multiple projects under budget and time constraints.</li><li>
Excellent interpersonal and written communication skills.</li><li>
Experience in reviewing design drawings created by others.</li><li>
Proficiency with MS Office applications.</li></ul><div></div><div><br>
Valued but not required skills and experience:</div><ul><li>
Proficient with AutoCAD and/or MicroStation.</li><li>
Familiar with Bentley Substation, BlueBeam, AutoCAD E or SDS design software.</li><li>
Ability to prepare substation grounding calculations, direct stroke shielding calculations, battery &amp; charger sizing calculations, etc.</li><li>
Protection &amp; controls experience.</li><li>
Familiarity with ANSI/IEEE/NEMA standards as they relate to physical substation design. This includes the National Electrical Safety Code (ANSI - C2).</li><li>
FE or PE license.</li></ul>
AI &amp; Automation at Sargent &amp; Lundy:
<div>
In this role, we expect people to be willing or able to lead others who use modern tools:</div><ul><li>
You are expected to lead others in taking engineering problems from issue to solution by setting expectations for using data and modern tools such as automation and AI to improve workflows, reduce rework, and deliver cost-effective designs.</li><li>
Leaders in these roles often direct automation and process-improvement work, for example, how teams automate calculations, summarize technical documents, or generate design documentation and guiding when and how AI or agentic AI tools are used while ensuring results are checked.</li><li>
Overseeing engineers who program or script (e.g., Python, MATLAB, advanced Excel) to automate engineering tasks, with review of automated outputs, is valued but not required.</li><li>
We also value additional learning, such as a minor, certificate, or other experience in Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables effective oversight of automation and agentic AI-enabled engineering workflows.</li></ul>
Award-Winning Benefits:
<p>
At Sargent &amp; Lundy, we care about the health and well-being of our employees. Our commitment extends beyond the workplace, offering comprehensive healthcare plans and generous paid time off to support our team members in every aspect of their lives. We understand the importance of work-life balance, which is why we are proud to provide competitive, award-winning benefits. Our dedication to employee satisfaction has earned us the prestigious Top Workplaces Culture Excellence Award for compensation and benefits in 2022, 2023, and 2024.</p><p></p><div><div><div><b><br>
Health &amp; Wellness</b></div><div><b> Financial Benefits</b></div><div><b> Work-Life Balance</b></div></div><br>
<div><ul><li>
Health Plans: Medical, Dental, Vision</li><li>
Life &amp; Accident Insurance</li><li>
Disability Coverage</li><li>
Employee Assistance Program (EAP)</li><li>
Back-Up Daycare</li><li>
FSA &amp; HSA</li></ul><ul><li>
401(k)</li><li>
Pre-Tax Commuter Account</li><li>
Merit Scholarship Program</li><li>
Employee Discount Program</li><li>
Corporate Charitable Giving Program</li><li>
Tuition Assistance</li><li>
First Professional Licensure Bonus</li><li>
Employee Referral Bonus</li></ul><ul><li>
Paid Annual Personal/Sick Time (PST)</li><li>
Paid Vacation</li><li>
Paid Holidays</li><li>
Paid Parental Leave</li><li>
Paid Bereavement Leave</li><li>
Flexible Work Arrangements</li></ul></div><br>
</div>
Compensation Range: $134,546 - $205,557 Transparency Statement: Sargent &amp; Lundy discloses compensation ranges that comply with all local and state regulations. The total compensation package for eligible positions will include a base salary or an hourly rate and a comprehensive benefits package, reflecting our commitment to rewarding performance and supporting the overall well-being of our employees. Individuals may also be eligible to participate in our yearly discretionary bonus. Awards &amp; Recognition:
<div></div>
Equal Opportunity:
<div>
Sargent &amp; Lundy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any protected status as defined by applicable law.</div></div>

Lead EHV Electrical Engineer 2 - Grid

Apollo Technology Solutions LLC

<div><div><b>Title: Business Process &amp; Governance Engineer</b><br>
<b>Location: Atlanta, GA (Remote or Hybrid)</b><br>
<b>Duration: 5 Months</b><br>
<b>Web Cam Interview Only</b><br>
<br>
Partners across the enterprise to build and strengthen governance capabilities across data, information, and emerging AI programs translating ambiguous needs into practical processes, documentation, and tools. We're growing our governance function across multiple programs Data Governance, Information Governance, and AI Governance each at a different point in its journey, some established and maturing, others being built from the ground up. This role offers the chance to do both: strengthen what's working and shape what's still being defined, moving between programs as priorities shift.<br>
<br>
<b>Job Description</b>
<ul><li>Partners across business, IT, privacy, security, and other units to build and strengthen governance capabilities across Data, Information, and AI Governance programs from established initiatives to those still taking shape. Takes direction and runs with it, translating ambiguous or evolving needs into practical processes, documentation, and tools with minimal day-to-day oversight.</li>
<li>Position Duties:</li>
<li>Design and implement governance processes, workflows, and documentation for programs across a range of maturity from established to still-forming</li>
<li>Translate business needs into practical frameworks, tools, and training materials</li>
<li>Partner with stakeholders across technical and non-technical audiences to drive adoption</li>
<li>Operate with significant autonomy identify gaps, propose solutions, and execute without a predefined playbook</li>
<li>Flex across programs as priorities shift, applying the same core skill set to different levels of ambiguity and structure</li>
</ul><br>
<b>Required Skills:</b>
<ul><li>Quickly grasps governance, policy, or regulatory requirements and translates them into clear processes, documentation, guides, and stakeholder conversations</li>
</ul><ul><li>Comfortable building structure from ambiguity; doesn't wait to be told what to do</li>
<li>Strong process design, documentation, and analytical skills</li>
<li>Skilled communicator who adapts across technical and executive audiences</li>
<li>Self-directed, results-oriented, adaptable to shifting priorities</li>
</ul><br>
<b>Preferred Skills:</b>
<ul><li>Experience in higher education or another complex, decentralized institutional environment</li>
<li>Exposure to governance, compliance, or risk-related work (data, information, or AI)</li>
</ul><br>
<b>Qualifications:</b>
<ul><li>5-8 years of experience in business process, governance, compliance, IT business analysis, or a related field. Bachelor's degree preferred (any field); higher education experience as a student or employee is a plus. Equivalent professional experience will be considered in lieu of a degree.</li><br>
</ul><br>
<br>
<b>Required / Preferred Skills:</b>
<ul><li>Proven work experience designing, implementing, or improving business processes, workflows, or governance frameworks</li>
<li>Proven work experience creating documentation, guides, or training materials for varied technical and business audiences</li>
<li>Proven work experience partnering with cross-functional stakeholders to drive adoption of new processes or initiatives</li>
<li>Proven work experience independently identifying gaps and building solutions without an established playbook</li>
<li>Experience with data, information, or AI governance, compliance, or risk-related work</li>
<li>Experience in higher education or another complex, decentralized institutional environment</li></ul></div></div>

Business Process & Governance Engineer

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