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al/ml engineer, lead

al/ml evaluation engineer Jobs in Atlanta

al/ml evaluation engineer

machine learning engineer i Jobs in Atlanta

machine learning engineer i

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al ml evaluation engineer

Booz Allen Hamilton

<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

<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>
 
 
 
 
 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

The Home Depot

Position Purpose: As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives. In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization. Key Responsibilities: 30% Delivery &amp; Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 10% Support &amp; Enablement: Fields questions from engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team 50% People: Provides leadership, mentoring, and coaching to Software Engineers Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Direct Manager/Direct Reports: Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director. Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 7-9 years of relevant work experience <ul><li>Mastery of a modern programming language (preferably java &amp; Python)</li></ul>Experience building, productionizing, and operating AI/ML systems, statistical models, recommendation systems, personalization platforms, or Generative AI solutions at enterprise scale Hands-on experience with big data platforms, distributed data processing, and large-scale data pipelines <ul><li>Experience with orchestration and workflow tools such as Apache Airflow, Cloud Composer, or similar platforms</li></ul>Experience with MLOps practices, including model deployment, monitoring, retraining workflows, feature pipelines, experimentation, and production model governance <ul><li>Experience working with cloud platforms, preferably Google Cloud Platform, including services such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Kubernetes</li><li>Experience designing and scaling high-throughput, low-latency, distributed systems that support customer-facing recommendations, search, personalization use cases</li></ul>Strong SQL skills and experience working with relational, NoSQL, and analytical data stores <ul><li>Experience integrating AI/ML models into production applications, APIs, data products, or decisioning platforms</li><li>Experience with experimentation platforms, A/B testing, feature evaluation, ranking systems, or optimization techniques</li><li>Experience with retail, ecommerce, search, personalization, or recommendation platforms preferred</li><li>Experience using AI agents or developer productivity tools to improve engineering effectiveness, accelerate delivery, and raise team quality</li><li>Strong understanding of modern software delivery practices, CI/CD pipelines, observability, automated testing, and production readiness</li><li>Proficient in troubleshooting complex distributed systems, analyzing logs, monitoring system health, and resolving production issues</li><li>Ability to quickly understand complex systems, identify technical risks, and guide teams toward practical solutions</li><li>Experience mentoring engineers, growing technical talent, and reinforcing strong software engineering fundamentals</li><li>Experience managing team execution, balancing workloads, setting priorities, and delivering through ambiguity</li><li>Experience working across product, data science, analytics, architecture, infrastructure, and business stakeholders in a matrixed environment</li><li>Experience translating high-level strategy into technical roadmaps, delivery plans, and measurable outcomes</li><li>Experience managing vendor relationships, third-party platforms, or external technology partners when needed</li></ul>Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: 5 years of experience data and ML space Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Apply End Date: 06/23/2026

Software Engineer Manager, AI/ML Platforms

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

Position Purpose: As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives. In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization. Key Responsibilities: 40% Delivery &amp; Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Drives strategic technical decisions and influences architecture to build highly scalable, performant, and resilient systems Designs and implements solutions incorporating AI/ML capabilities to improve automation, forecasting, and business outcomes Builds and enhances systems supporting retail pricing, promotions, and optimization, ensuring accuracy, scalability, and performance Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies, including AI/ML platforms and tools, for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 20% Support &amp; Enablement: Fields questions from business, engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team, especially for complex system and pricing-related issues 30% People: Provides leadership, mentoring, and coaching to Software Engineers Actively develops team capabilities in modern engineering practices, AI/ML adoption, and system design Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices and data-driven decision-making Guides team members in strategic thinking, alignment, analysis, and execution tasks within and across product teams Builds a culture of continuous learning, innovation, and engineering excellence focused on scalable systems Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Stays current with advancements in AI/ML, retail pricing technologies, and large-scale distributed systems Direct Manager/Direct Reports: Reports to the Software Engineer Sr. Manager Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 7-9 years of relevant work experience Mastery of a modern programming language (preferably java &amp; Python) Experience productionizing statistical models, AI/ML systems, and Generative AI solutions at enterprise scale Experience working with or integrating AI/ML models and data-driven systems Experience with retail pricing systems, promotions, or price optimization platforms Mastery of a modern web application framework such as Ruby on Rails, Spring MVC, and Node.js Mastery of writing SQL queries against a relational database and No SQL databases Experience championing AI agents to improve developer productivity, accelerate delivery, and enhance team effectiveness. Experience managing large-scale solution delivery in highly matrixed and cross-functional environments. Mastery of modern product development processes and pipelines Proficient in effective troubleshooting and issue resolution techniques Proficient in effective system monitoring and log analysis techniques Capable of understanding complicated systems quickly Experience in guiding more junior team members through Software Engineering fundamentals in a professional setting Experience managing and growing team members in a professional setting Experience balancing workloads across teams Experience managing vendor relationships Experience with translating high level strategy to tactical execution Experience building and scaling distributed, high-availability systems Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: No additional years of experience Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business, retail pricing, and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

Software Engineer Manager (Remote)

GA Public Service Commission

The Georgia Public Service Commission is Accepting Applications forUTILITIES ENGINEER &ndash; Energy Efficiency and Renewable Energy UnitAnnual Salary: $73,000 to $80,000 commensurate with experience Recruitment Period: Until FilledNumber of Openings: 1The Georgia Public Service Commission is a five-member constitutional agency that exercises its authority and influence to ensure that consumers receive safe, reliable, and reasonably-priced telecommunications, electric and natural gas service from financially viable and technically competent companies. For more information, see the Commission website at https://psc.ga.govJob Description:Under general supervision, the successful candidate will perform work of considerable difficulty as a member of the Energy Efficiency and Renewable Energy (EERE) unit in the review and evaluation in matters concerning the regulation of Electric and Natural Gas utilities in Georgia.Qualifications/Responsibilities&middot; A Utilities Engineer on the EERE Staff conducts independent analyses on a wide range of issues related to utility ratemaking and integrated resource planning by applying critical review, utility regulatory practices, and standards related to engineering.&middot; EERE Staff&rsquo;s focus is primarily on Demand Side Management, Energy Efficiency Programs, and the procurement and policy recommendations related to Renewable/Carbon Free Energy (Solar, Wind, and Battery Energy Storage Systems).&middot; To accomplish this, Staff members are given individual assignments to formulate strategies in the preparation of team recommendations. Staff is often assigned to work on multiple projects concurrently with varying deadlines and may be assigned to work with hired subject matter experts to direct and manage their work.&middot; Staff members typically present the team&rsquo;s analyses and recommendations, in oral and written form, in the Commission&rsquo;s public meetings. Staff may also present and defend the team&rsquo;s work as an expert witness.&middot; Staff routinely meets with utility representatives, stakeholders, and the Commissioners on pertinent issues and is involved in settlement negotiations to reach agreement on issues.&middot; Staff routinely speaks with the general public and responds to customer inquiries regarding utility service.&middot; Staff is required to stay current in this ever changing field and must take the initiative to increase his/her knowledge-base by reviewing industry publications on a regular basis and attending in-house and external training opportunities as presented.Minimum Training, Experience, Skills and Abilities: Completion of a bachelor&rsquo;s degree in engineering. Good oral and written communication skills. Demonstrated knowledge, or ability to acquire knowledge, of engineering principles and practices as applied to Energy Efficiency and Renewable Energy.Preferred Qualifications: One or more of the following: Completion of a graduate degree in accounting, finance, economics, public administration, or related field; or professional work experience in utility regulatory ratemaking, accounting, engineering or economics; experience in presenting expert testimony in regulatory proceedings. Prior work experience in the Energy Efficiency or Renewable Energy field is preferred.Evaluation Information: Must successfully complete background investigation.Send cover letter and resume to: HRGPSC@psc.ga.gov or apply online at www.psc.ga.gov or through www.Indeed.comCandidates selected for further consideration will be required to submit the following:Georgia Public Service Commission Employment ApplicationState of Georgia Employment ApplicationCollege or University TranscriptsWriting SampleExcellent Benefits:&middot; 401(k) with matching&middot; Defined Benefit Plan (pension)&middot; Employer qualified for Student Loan Forgiveness Program&middot; Health Insurance&middot; Dental and Vision Insurance&middot; Employee Discounts&middot; Flexible Schedule&middot; Health Savings Account&middot; Life Insurance&middot; Vacation Leave &ndash; three weeks annually that rolls over&middot; Sick Leave &ndash; three weeks annually that rolls over&middot; 13 Paid Holidays&middot; Professional development assistancePay: $73,000.00 - $80,000.00 per yearBenefits:<ul><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Atlanta, GA 30334

Utilities Engineer: Energy Efficiency and Renewable Energy

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