Deep Learning Engineer Jobs in New Jersey (NOW HIRING)

We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves architecting end-to-end platform services with a focus on scalability, reliability, and performance.

You will be a key player in driving the implementation of new AI-driven systems and programs that will impact all business line at Citi globally. Responsibilities Architect and Build AI Solutions: Design and architect end-to-end platform capabilities and services that integrate with Generative AI technologies. Implement RAG Solutions: Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial Large Language Models.

Develop AI Workflows: Apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems. Drive DevOps Best Practices: Implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models. End-to-End Project Ownership: Manage your deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.

Rapid Prototyping: Perform and lead quick proof-of-concept (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases. Ensure System Integrity: 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. Collaborate and Innovate: Work closely with cross-functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.

Required Qualifications Experience: 5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning. Programming Skills: Strong object-oriented programming skills with expert-level proficiency in Python. AI/ML Expertise: Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models

Application Development: Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics. DevOps Knowledge: Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices. Architectural Understanding: Solid understanding of modern software development practices, including microservices architecture and API design principles

Data Proficiency: Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration. Problem-Solving: Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions. Education: Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience Desired Skills Cloud Architecture: Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single/multi-tenant)

Large-Scale Systems: Experience designing and implementing microservices-based architectures for large-scale platforms in complex environments. Leadership: Demonstrated leadership, project management skills, and a proven track record of self-motivation and continuous learning. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Jersey City New Jersey United States ------------------------------------------------------ Primary Location Full Time Salary Range: $142,320.00 - $213,480.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards

Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com

Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills AI Frameworks, Generative AI, Large Language Model (LLM) Fine-Tuning, ML Frameworks, Python (Programming Language).

------------------------------------------------------ Anticipated Posting Close Date: ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals.

Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents - AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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