artificial intelligence engineer – remote

senior data engineer

ai engineer

al/ml engineer, lead

al/ml evaluation engineer Jobs in Atlanta

al/ml evaluation engineer

artificial intelligence engineer – remote Jobs in Atlanta

machine learning engineer

<div>
 
 
 
 
 Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
 
 
 
 
 
 
 
 
 
 Who We Are&hellip;
 
 
 
 
 
 When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the
 
 storytellers
 
 bringing our characters to life, the
 
 creators
 
 bringing them to your living rooms and the
 
 dreamers
 
 creating what&rsquo;s next&hellip;
 
 
 
 
 
 
 From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
 
 
 
 
 
 We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
 
 
 
 
 
 To see what it&rsquo;s like to work at&nbsp;CNN, follow @WBDLife on&nbsp;
 
 Instagram
 
 &nbsp;and&nbsp;
 
 X
 
 !
 
 
 
 
 
 
 We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS.
 
 
 We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.
 
 
 
 
 About CNN Digital
 
 &nbsp;
 
 
 CNN Digital is a global leader in news and information, reaching millions of users daily across web, mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.&nbsp;
 
 
 
 Your New Role&hellip;
 
 
 
 CNN is seeking a
 
 Machine Learning Engineer I
 
 to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital platforms. You will work on&nbsp;production&nbsp;ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff.&nbsp;
 
 
 
 Your Role Accountabilities&hellip;
 
 
 <ul>
 <li>
 
 Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding
 
 </li>
 <li>
 
 Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure
 
 </li>
 <li>
 
 Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact
 
 </li>
 <li>
 
 Optimize ML systems for real-time, web-scale performance serving millions of users
 
 </li>
 <li>
 
 Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards
 
 </li>
 <li>
 
 Contribute to code reviews, documentation, and team knowledge sharing
 
 </li>
 </ul>
 
 
 Qualifications &amp; Experience&hellip;
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
 
 </li>
 <li>
 
 1+ years of professional experience building and deploying machine learning systems in production environments
 
 </li>
 <li>
 
 Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)
 
 </li>
 <li>
 
 Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
 
 </li>
 <li>
 
 Solid understanding of software engineering best practices, including version control, testing, and CI/CD
 
 </li>
 <li>
 
 Ability to collaborate effectively with cross-functional partners
 
 </li>
 <li>
 
 Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
 
 </li>
 </ul>
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 
 Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)
 
 </li>
 <li>
 
 Hands-on experience with recommendation systems, search, NLP, or information retrieval
 
 </li>
 <li>
 
 Familiarity with data pipelines, feature stores, or embedding infrastructure
 
 </li>
 <li>
 
 Experience with experimentation platforms, A/B testing, and experimentation analysis
 
 </li>
 <li>
 
 Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
 
 </li>
 <li>
 
 Interest in generative AI applications and/or the media and news industry
 
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 
 
 Languages:
 
 Python (required), SQL
 
 </li>
 <li>
 
 
 ML Frameworks:
 
 scikit-learn or similar
 
 </li>
 <li>
 
 
 Tools:
 
 Git, MLflow or similar MLOps tools
 
 </li>
 <li>
 
 
 Data:
 
 Experience working with large datasets, distributed processing, and feature engineering
 
 </li>
 <li>
 
 
 Deployment:
 
 REST APIs, model serving, monitoring, and observability
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 How We Get Things Done&hellip;
 
 
 
 
 
 
 
 This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 www.wbd.com/guiding-principles/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
 
 
 
 
 
 
 
 Championing Inclusion at WBD
 
 
 
 Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
 
 
 
 
 
 
 If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
 
 accessibility page
 
 for instructions to submit your request.
 
 
 
 
 
 
 In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
 
 
 
 
 
 
 
 
</div>

Machine Learning Engineer I

NAVA TECH LLC

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.About the RoleThis role is ideal for candidates who:<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>ResponsibilitiesThrough hands-on project experience and mentorship, you'll gain exposure to:<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>QualificationsMinimum Qualifications<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>Required Skills<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>Preferred Skills<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>Pay: $35.00 - $42.00 per hourBenefits:<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>Work Location: In person

Jr Data Scientist

Momentive Software

<div><h1 class="jobSectionHeader">Job Description
</h1>Key Responsibilities:
<ul><li>Data Analysis &amp; Insight Generation
</li></ul><ul><li><ul><li>Analyze large and complex datasets to extract meaningful insights that drive business outcomes.
</li><li>Communicate findings and recommendations through reports, dashboards, and presentations.
</li></ul></li></ul><ul><li>Data Engineering &amp; Preparation
</li></ul><ul><li><ul><li>Clean, preprocess, and transform raw data for analysis and modeling.
</li><li>Collaborate with data engineering teams to ensure data availability and quality.
</li></ul></li></ul><ul><li>Collaboration with Stakeholders
</li></ul><ul><li><ul><li>Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.
</li><li>Translate business problems into analytical frameworks.
</li></ul></li></ul><ul><li>A/B Testing &amp; Experimentation
</li></ul><ul><li><ul><li>Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.
</li><li>Provide statistical rigor in experimentation and decision-making.
</li></ul></li></ul><ul><li>Research &amp; Innovation
</li></ul><ul><li><ul><li>Stay up-to-date with the latest developments in data science, machine learning, and AI.
</li><li>Propose innovative approaches and solutions for complex problems.
</li></ul></li></ul>Other duties as assigned
Qualifications
<ul><li>Education
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
</li></ul></li><li>Experience
<ul><li>5+ years of experience in data science or a related field.
</li><li>Hands-on experience with data analysis, machine learning, and statistical modeling.
</li></ul></li><li>Technical Skills
<ul><li>Proficiency in Python , R or similar technologies for data analysis and modeling.
</li><li>Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
</li><li>SQL proficiency for data extraction and transformation.
</li><li>Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.
</li></ul></li></ul><h1 class="jobSectionHeader">About Us
</h1>Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive&rsquo;s cloud-based software and services to address their most pressing challenges &ndash; from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe &quot;good enough&quot; is never enough &ndash; so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com . 
 
<h1 class="jobSectionHeader">Why Work Here?
</h1>At Momentive Software, we&rsquo;re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you&rsquo;re looking for a place where your work matters and your ideas are valued, you&rsquo;ll find it here.
Medical, Dental &amp; Vision Benefits
401(k) Savings Plan with Company Match
Flexible Planned Paid Time Off
Generous Sick Leave
Inclusive &amp; Welcoming Environment
Purpose-Driven Culture
Work-Life Balance
Commitment to Community Involvement
Employer-Paid Parental Leave
Employer-Paid Short-Term Disability
Remote Work Flexibility
 
 
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
 
 
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.</div>

Senior Data Engineer

Booz Allen Hamilton

<div>AL/ML Engineer, Lead
The Opportunity:
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.
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.
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.
What You'll Work On:<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>
Join us. The world can&rsquo;t wait.
You Have:<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>
Nice If You Have:<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>
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
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.
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.
Identity Statement
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.
Candidate AI Usage Policy
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 your 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 unless permission is explicitly provided.
Work Model 
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.<ul><li>
Remote: 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.</li><li>
Hybrid: 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.</li><li>
Onsite: 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.</li></ul>
Commitment to Non-Discrimination
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.</div>

AL/ML Engineer, Lead

<div>The Opportunity:
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.
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.
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.
What You'll Work On:
<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>Join us. The world can&rsquo;t wait.
You Have:
<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>Nice If You Have:
<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>Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .
Compensation
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.
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.
Identity Statement
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.
Candidate AI Usage Policy
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 your 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 unless permission is explicitly provided .
Work Model
 
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.
<ul><li>Remote : 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.
</li><li>Hybrid : 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.
</li><li>Onsite : 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.
</li></ul>Commitment to Non-Discrimination
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.</div>

AL/ML Evaluation Engineer

Sunwell America. Inc

Job DescriptionMust Have Technical/Functional Skills<ul><li>Deep Google GenAI Stack: Vertex AI (Pipelines, Endpoints, Vector Search), Gemini APIs, and Agentic architectures (Function Calling, Agent Development Kit, Agent Builder).</li><li>Core GCP Infra: Solid understanding of how ML model deployments interact with BigQuery, IAM, Cloud Storage, and VPCs.</li><li>High-Severity Leadership: Excellent interpersonal ability to manage P1/P2 crises and deliver technical root-cause analyses directly to enterprise customers and accelerate L1 L2 teams</li><li>Ideal: Systems &amp; Code Debugging skills, Strong Python coding/debugging skills, API troubleshooting, and distributed systems log analysis (Cloud Logging/Monitoring).</li></ul>Roles &amp; Responsibilities<ul><li>This role falls in the Tier 3 Support and plays as the bridge between our frontline representatives (who are already Associate Cloud Engineer certified) and Google Product Engineering.</li><li>Act as the ultimate technical escalation point for complex enterprise issues across Vertex AI, Gemini/Gemini Enterprise, and Vertex AI Agent Builder.</li><li>8+ years in Tier 3 Technical Support, SRE, and AI/ML Engineering.</li><li>Mandarin Fluency (Spoken &amp; Written) for direct engagement with enterprise customers and stakeholders.</li><li>Generic Managerial Skills, If any</li><li>Stakeholder management</li><li>Escalation handling</li><li>Cross-functional collaboration</li><li>Communication skills</li><li>Problem-solving</li><li>Ownership &amp; accountability</li></ul>Pay: $90,000.00 - $110,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li></ul>Work Location: In person

GenAI Support Engineer / Google Cloud AI Specialist

Delta Air Lines

<div><div><div><div><div>United States, Georgia, Atlanta
Information Technology
15-Jun-2026
Ref #: 32774
</div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">How you'll help us Keep Climbing (overview &amp; key responsibilities)</h3>
</div></div><div><div>At Delta Air Lines, we are continually looking to build a high performing, self-motivated team of technologists who embrace new technologies to enhance the customer and employee experience.
We are looking for an Innovation &amp; AI Engineering Intern to design and develop machine learning and AI-based products that incorporate cutting-edge technology. Just a heads up, this isn&rsquo;t a typical engineering role.
As an Innovation &amp; AI Engineering Intern at Delta, you will own projects from day 1. You will be responsible for:
<ul><li>Engaging with business stakeholders and customers to identify problem areas</li>
<li>Developing and modifying state-of-the-art ML models to build robust and holistic solutions</li>
<li>Collaborating with other engineers, strategists, and designers to think of customer experiences that can be transformed by machine learning and AI</li>
<li>Presenting project updates to leaders across multiple business units</li>
<li>Leveraging advancements in technology and brainstorming ways to incorporate them into different areas of Delta</li>
</ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">Benefits and Perks to Help You Keep Climbing</h3>
</div></div><div><div><ul><li>Experience travel and culture through Delta&rsquo;s unmatched flight benefits</li>
<li>Incredibly passionate, empathetic, and truly talented team members across engineering, strategy, venture, and design functions</li>
<li>Freedom of working on a small team while having the impact of a team that drives innovation forward at a huge company</li>
<li>Excitement of working on customer-facing projects that can ship within weeks</li>
<li>Offices located in Midtown in Atlanta, adjacent to Georgia Tech campus, and near Delta HQs</li>
</ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">What you need to succeed (minimum qualifications)</h3>
</div></div><div><div><div><ul><li>Experience developing machine learning models (e.g., neural networks, deep reinforcement learning, gradient boosted trees, etc.) using Python, TensorFlow, PyTorch, or other machine learning platforms</li>
<li>Must be actively enrolled in an undergraduate accredited college, university, or institution during the duration of the program.</li>
<li>Understanding of machine learning best practices such as training/serving models, feature engineering, and feature/model selection</li>
<li>Knowledgeable about different machine learning domains like natural language processing, computer vision, personalization and recommendation, and anomaly detection</li>
<li>Flexibility to learn and work on things outside of your comfort zone</li>
<li>You&rsquo;re self-driven, take pride in your work, and find satisfaction in building interesting things</li>
<li>You can adapt and explain a neural network to your lead engineer and to a 5-year-old</li>
<li>You embrace different perspectives and styles of thinking</li>
<li>Demonstrates that privacy is a priority when handling personal data</li>
<li>Embraces a diverse set of people, thinking and styles</li>
<li>Consistently makes safety and security, of self and others, the priority</li> 
</ul> 
</div><ul><li>Consistently prioritizes safety and security of self, others, and personal data.
</li><li>Embraces diverse people, thinking, and styles.
</li><li>Possesses a high school diploma, GED, or high school equivalency.
</li><li>Is at least 18 years of age and has authorization to work in the United States.
</li></ul></div></div></div></div><div><div><div><div><h3 class="jobSectionHeader">What will give you a competitive edge (preferred qualifications)</h3>
</div></div><div><ul><li></li></ul></div></div></div></div><div></div>

Intern, Innovation - AI Engineering (Fall 2026)

Explore 84+ Machine learning engineer in Atlanta this July. Find roles across top companies and apply now to boost your career.