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Omnissa

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  We are Omnissa!
 </strong>
 <br/>
 <br/>
 Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions&mdash;including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security &amp; Compliance&mdash;into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.
 <br/>
 <br/>
 Guided by our Core Values&mdash;
 <strong>
  Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value
 </strong>
 &mdash;we&rsquo;re growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.
 <br/>
 <br/>
 <strong>
  What is the opportunity?
  <br/>
  <br/>
 </strong>
 Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the
 <strong>
  AI Platform Team
 </strong>
 , the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Staff Machine Learning Engineer
 </strong>
 , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors. You&rsquo;ll work closely with engineering and product teams to operationalize models across our cloud scale environment while driving best in class ML engineering practices. You will own engineering initiatives end to end and help foster a culture of high ownership, continuous improvement, and engineering excellence. Here is a breakdown:
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.
  </li>
  <li>
   Build and maintain scalable data pipelines for model training, evaluation, and real time/batch inference.
  </li>
  <li>
   Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
  </li>
  <li>
   Collaborate with cross functional teams to integrate ML solutions into core platform features and services.
  </li>
  <li>
   Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.
  </li>
  <li>
   Implement model observability, monitoring, and drift detection to ensure production reliability.
  </li>
  <li>
   Stay current with advancements in machine learning, AI, and LLM technologies, and apply them to product use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What will you bring to Omnissa?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in machine learning engineering or data science roles.
  </li>
  <li>
   Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikitlearn).
  </li>
  <li>
   Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP).
  </li>
  <li>
   Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.
  </li>
  <li>
   Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  </li>
  <li>
   Handson experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.
  </li>
  <li>
   Knowledge of text embedding models, and vector databases for Retrieval Augmented Generation (RAG) systems
  </li>
  <li>
   Strong problem-solving skills and the ability to collaborate effectively in Agile teams.
  </li>
  <li>
   Highly motivated, adaptable, and eager to learn new technologies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with distributed computing frameworks (e.g., Spark, Ray).
  </li>
  <li>
   Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and multi-agent systems.
  </li>
  <li>
   Experience building feature stores or working with vector databases.
  </li>
  <li>
   Knowledge of real-time inference architectures and model monitoring systems.
  </li>
  <li>
   Experience developing scalable ML services via REST/gRPC.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
 </strong>
 Mountain View, CA or Atlanta, GA
 <br/>
 <br/>
 <strong>
  Location Type:
 </strong>
 hybrid
 <br/>
 <br/>
 <strong>
  Travel Expectations:
 </strong>
 None
 <br/>
 <br/>
 <strong>
  Education:
 </strong>
 Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.
 <br/>
 <br/>
 <strong>
  Compensation:
 </strong>
 <em>
  The typical base salary for this role is between USD $162,512 &ndash; $342,750 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.
  <br/>
  <br/>
 </em>
 <strong>
  Omnissa is an Equal Employment Opportunity company and Prohibits Discrimination and Harassment of Any Kind:
  <br/>
  <br/>
 </strong>
 Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions at Omnissa are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate. Omnissa will not tolerate discrimination or harassment based on any of these characteristics. Omnissa welcomes applicants of all ages. Omnissa will provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal, state and local law.
</div>


Staff Machine Learning Engineer

Cox Automotive

<div>Cox Automotive's architecture group is reimagining the car-buying and service experience from inventory management, consumer shopping, service, and deal inception to close. The CAI Architecture Team architects and evolves the platforms that power inventory management, deal creation, validation, and service across the retail lifecycle.<br>
<br>
The Lead Architect provides technical leadership for key Cox Automotive products, advancing platform modernization, solution architecture, and AI initiatives across CAI services.<br>
<br>
What You'll Do<br>
<ul><li>
Define and evolve the architectural vision, translating business priorities into durable technical direction across multiple delivery teams</li><li>
Drive solution design from discovery through delivery - shaping epics, validating assumptions, surfacing risks early, and aligning teams to target architecture</li><li>
Partner with engineering, product, and agile leaders to sequence and prioritize architectural investments, balancing near-term delivery with long-term platform health</li><li>
Identify and reduce technical debt in the deal initiation surface, including dependencies on legacy dealer workflow integrations</li><li>
Champion adoption of Cox Automotive's Common tenancy and user management platforms and AWS-native patterns within the value stream</li><li>
Identify and champion the use of generative AI within new products and features, aligning these to the Retail Agentic Platform capabilities and standards</li><li>
Produce and maintain architectural artifacts - roadmaps, decision records, solution diagrams, integration models - that give teams clear, actionable direction</li><li>
Evaluate emerging technologies, including Gen AI tooling, for applicability to deal initiation and structuring use cases</li></ul><br>
Who You Are: Minimum Qualifications<br>
<ul><li>
Bachelor's degree in a related discipline and 6 year's experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience; or 18 years' experience in a related field.</li><li>
Proven ability to align diverse stakeholders around technical direction, navigate ambiguity, and drive consensus across engineering, product, and business teams.</li><li>
Highly analytical and capable of diving technically deep to rapidly deliver proof-of-concepts and perform experimentation.</li><li>
Breadth of architectural knowledge spanning application, integration, and platform domains, with the ability to connect technical decisions to business outcomes.</li><li>
Extensive technical experience in application architecture and API delivery at scale.</li></ul><ul><li>
Experience developing APIs at scale using GraphQL and/or REST.</li><li>
Experience in full development life cycle with significant experience delivering applications and architecture services in a production environment.</li><li>
Strong familiarity with architecting for and delivering solutions in a public cloud environment (AWS preferred).</li><li>
Hands-on experience with AI technologies and concepts (LLMs, autonomous agents, vector databases, model selection, agent-based architecture, data pipeline, AI-assisted PDLC, etc.)</li><li>
Experience working within DevOps cultures, with a focus on process improvement, automation, and continuous delivery.</li><li>
Strong proficiency with relational and non-relational database technologies (Oracle, SQL Server, MySQL, MongoDB, DynamoDB, PostgreSQL, Redis, Elasticsearch, graph datastores, etc.), especially for information processing and exchange.</li><li>
Experience developing software in Python, Node.js, and other languages (Java, Scala, C#, etc.).</li></ul><br>
Preferred Qualifications<br>
<ul><li>
Proven ability to identify and select appropriate application and data systems for varied workloads - integrations, processing, APIs, and operational reporting.</li><li>
Deep understanding of distributed systems, event-driven architecture, and async messaging patterns at consumer scale.</li><li>
Experience with API governance, API contract management, and establishing standards across engineering teams.</li><li>
Demonstrated ability to drive platform thinking - identifying reuse opportunities, reducing duplication, and shaping shared capabilities across delivery streams.</li><li>
Track record of enabling teams through influence without authority - mentoring engineers, shaping technical direction, and elevating architectural maturity across an organization.</li></ul><br>
USD 122,600.00 - 204,400.00 per year<br>
<br>
<b>Compensation:</b><br>
<br>
Compensation includes a base salary in the range of $122,600.00 - $204,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.<br>
<br>
<b>Benefits:</b><br>
<br>
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.<br>
<br>
EOE, including disability/vets</div>

Lead Architect

Infor

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
We are seeking a Team Lead, Cloud to provide technical leadership for a multi-tenant enterprise software product team building and operating high-quality .NET applications. This role is responsible for guiding the delivery lifecycle from requirements analysis through deployment and production support, while driving engineering excellence, collaboration, and continuous improvement. Building on hands-on expertise in .NET and AWS, the Team Lead will own the technical quality of the team's work architecture, design, code review, CI/CD, and security - and partner with internal stakeholders and Infor application teams across onshore and offshore locations to translate business requirements into scalable, actionable technical plans. The lead will manage a team of engineers by allocating workload, conducting performance reviews, and participating in hiring, while driving the adoption of AI and automation to increase productivity and reduce support overhead. This leadership is key to delivering the provisioning, database-migration, configuration-management, and self-service capabilities. This position offers a potential growth path into a Development Manager role for individuals interested in expanding their leadership responsibilities.</div><h3 class="jobSectionHeader"><b><br>
A Typical Day in the Life Includes:</b></h3><br>
<div></div><ul><li>
Lead end-to-end delivery of software solutions from requirements analysis through deployment and production support, owning realistic estimates and proactively communicating risks to committed timelines.</li>
<li>Provide technical direction and hands-on guidance to engineers, serving as the primary point of contact for architecture, design, and codebase decisions.</li>
<li>Conduct thorough code reviews and enforce quality, security, and performance standards before changes are promoted.</li>
<li>Ensure technical designs are complete, scalable, and developer-ready, incorporating lessons learned to prevent recurring issues.</li>
<li>Partner with stakeholders to translate business requirements into actionable technical solutions that align with business needs and existing implementations.</li>
<li>Coordinate development and QA efforts across distributed teams, ensuring clear communication, documented decisions, and adherence to established processes.</li>
<li>Mentor engineers through coaching, knowledge sharing, professional development support, and the adoption of AI and automation to improve productivity and operational efficiency.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Basic Qualifications:</b></h3><br>
<ul>
<li>
Experience leading software development initiatives or technical teams in an enterprise environment.</li>
<li>Experience gathering, analyzing, and translating business requirements into technical solutions.</li>
<li>Experience conducting code reviews and promoting software engineering best practices.</li>
<li>Ability to communicate clearly and collaborate effectively with technical and non-technical stakeholders.</li>
<li>Experience working with cloud-based applications and modern software development practices.</li>
<li>Ability to coordinate work across multiple teams, functions, and time zones, including offshore teams.</li>
<li>Demonstrated technical judgment across code reviews, design reviews, root cause analyses, and stakeholder discussions.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Preferred Qualifications:</b></h3><br>
<ul>
<li>
Experience with AWS or similar cloud platforms.</li>
<li>Experience supporting multi-tenant SaaS or enterprise software products.</li>
<li>Knowledge of CI/CD pipelines and automated deployment practices.</li>
<li>Experience with .NET technologies and application development.</li>
<li>Experience with SQL and relational databases, including database provisioning or migration activities.</li>
<li>Experience coordinating QA activities, including automation, load, scalability, and security testing.</li>
<li>Familiarity with software development lifecycle methodologies, governance practices, and people leadership responsibilities.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
About Infor</b></h3><div><b>
About Infor</b></div><div>
Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next.</div><div>
<br>
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.<br>
<br>
For more information visit www.infor.com</div><div><b><br>
About Infor</b></div><div>
Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next.</div><div>
<br>
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.<br>
<br>
For more information visit www.infor.com</div><div>
<br>
<b>Our Values</b>
</div><div>At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management&trade; (PBM&trade;) and eight Guiding Principles: integrity, stewardship &amp; compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization.<br>
</div><div>
<br>
We have a relentless commitment to a culture based on PBM&trade;. Informed by the principles that allow a free and open society to flourish, PBM&trade; prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.</div><div>
<br>
Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section.<br>
</div><div><b>Fraud Awareness</b></div><div>
We have been made aware of unauthorized individuals posing as Infor recruiters, including some who have made fraudulent offers of employment. Please read our guidelines and protect yourself from recruitment scams.<br>
</div><div><b>Fraud Privacy Policy</b></div><div>
We value your privacy at Infor. You may access our privacy policy here.<br>
<br>
<b>US Only</b><br>
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Team Lead, Cloud - 1

Explore 3+ Construction materials engineering technician in Atlanta this September. Find roles across top companies and apply now to boost your career.

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Staff Machine Learning Engineer

Lead Architect

Team Lead, Cloud - 1