Develop full-stack web applications integrating AI, machine learning, and computer vision models. Build and test software using Java, Spring Boot, Python, React, MongoDB, and Docker; collaborate with data science teams, customers, and stakeholders; enhance the company website; and contribute to products throughout their lifecycles.
Description:
This role supports the team in full-stack web development efforts connecting CMO’s foundational capabilities with their customers. As a small team, we work closely giving each member the ability to bring their products through entire lifecycles and witness their direct success. You will be at the forefront of innovative AI/ML within CMO.
Responsibilities:
- Develop full-stack applications integrating machine learning and AI focusing on novel computer vision model development.
- Utilize modern tools to maintain today’s development standards within multiple applications.
- Interact with customers and stakeholders implementing changes where needed to create the best possible user experience.
- Continue development of CMO’s website taking initiative to further its capabilities.
- Work integrated with the CMO data science team to develop new AI/ML ideas and functionalities.
Qualifications:
- Active and current TS.SCI w FSP
- 3 years., B.S. in a technical discipline or 4 additional years. in place of B.S.
Skills Requirements:
- Full stack development experience including the following technologies:
- Docker
- Java and Spring Boot
- MongoDB
- Python
- UI development including a JavaScript framework like React.
- Experience developing and testing their software.
- Machine learning and AI development experience.
Preferred:
- Experience working with NiFi.
- Experience with AWS.
- Familiarity with GitLab.
Applicants for positions requiring security clearance will be automatically rejected for candidates not meeting the Security Clearance requirement.
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads configuration data management and release activities for aerospace programs. Reviews engineering drawings, EBOMs, and ECOs; maintains configuration plans; performs audits and root-cause analysis; supports PLM tools, upgrades, and testing; ensures compliance with aerospace standards and contractual requirements; provides reporting and stakeholder support; and mentors team members while driving process improvements.
Top Skills:
ClearcaseClearquestProduct Data Management (Pdm)Product Lifecycle Management (Plm)SalesforceTeamcenter
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.
Top Skills:
Agent-Based SystemsArtificial IntelligenceLangchainLarge Language Models (Llms)LlamaindexMachine LearningPrompt EngineeringRetrieval-Augmented Generation (Rag)
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provides customer-centric marketing advisory and consulting services. Responsibilities include analyzing customer needs and behavior, developing targeted and digital marketing campaigns, managing value propositions and automation workflows, interpreting campaign performance data, improving customer experience, and supporting business transformation. The role involves client collaboration, strategic recommendations, AI-human collaboration, and developing marketing initiatives that increase engagement, loyalty, and revenue.
Top Skills:
Adobe CampaignAdobe Marketo Engage
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
