Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
About the role
- Machine Learning Engineer responsible for designing AI applications leveraging Generative AI and LLMs at Citi. Involves architecting scalable platform services and collaborating with cross-functional teams.
Responsibilities
- Design and architect end-to-end platform capabilities and services that integrate with Generative AI technologies.
- Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial Large Language Models.
- Apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems.
- Implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models.
- Manage your deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.
- Perform and lead quick proof-of-concept (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases.
- Appropriately assess and manage risk in all technical and business decisions, ensuring compliance with applicable laws, rules, and regulations, and maintaining transparency in reporting and managing control issues.
- Work closely with cross-functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.
Requirements
- 5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.
- Strong object-oriented programming skills with expert-level proficiency in Python.
- Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models.
- Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.
- Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.
- Solid understanding of modern software development practices, including microservices architecture and API design principles.
- Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration.
- Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- paid time off packages including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.
MLOps Engineer working on ML processes and robust workflows at Kensho. Collaborating with engineers to enhance tooling, services, and frameworks for machine learning.
Intern working on avionics hardware and software for Blue Origin. Gaining hands - on experience while contributing to space development projects.
Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.
MLOps Engineer scaling AI/ML solutions across game studios at Stillfront. Collaborating with teams to operationalize machine learning solutions for a diverse gaming portfolio.