Machine Learning Engineer Vice President

We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will design, develop, and deploy cutting-edge applications leveraging Generative AI and Large Language Models (LLMs).

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 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: 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.

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.
• Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, or equivalent work experience.

Skills

• Cloud Architecture: Experience with 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.
• AI Frameworks, Generative AI, Large Language Model (LLM) Fine-Tuning, ML Frameworks, Python (Programming Language).

Benefits

• Medical, dental, and vision coverage.
• 401(k) plan.
• Life, accident, and disability insurance.
• Wellness programs.
• Paid time off packages, including vacation, sick leave, and holidays.
• For eligible employees, discretionary and formulaic incentive and retention awards.

Pay

Full Time Salary Range: $142,320.00 - $213,480.00

Schedule

Full time

Primary Location: Jersey City, New Jersey, United States