Lead Machine Learning Engineer

ADP•New York, NY

22h

About The Position

ADP Technology Services, Inc. is hiring Lead Machine Learning Engineers in our New York, NY location. Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day? Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging? Well, this may be the role for you! Ready to design what’s next? To thrive in this career, you’ll need to be enthusiastic, eager to learn, and take on stretch assignments. You strive to learn new technologies and find ways to incorporate what you learn into building your results. You’ll be curious, persistent, and at times persuasive. As part of our team, you’ll find exciting challenges, get opportunities to grow your career, and develop solid friendships as we design what’s next for ADP and the industry. Pace should not scare you. We still find time for a healthy dose of fun.

Requirements

Education and Qualifications/Skills and Competencies. Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related field of study plus five (5) years of related experience required. The company will also accept a Master's degree and three (3) years of related experience.
Work Experience. Three (3) years of experience must include: Python; Large Language Models (LLMs) and foundation models (GPT-4, Claude, or Llama); LLM frameworks (LangChain, LlamaIndex, or similar); Prompt engineering and fine-tuning techniques; Vector databases (Pinecone, Weaviate, or ChromaDB); RESTful APIs; GoLang or Node JS technologies; RDBMS and NoSQL databases (MySQL or DynamoDB); Public Cloud (AWS or Azure); Docker/Kubernetes; GIT; CI/CD pipelines (Jenkins and Ansible); GraphQL; Agile software methodology, including Scrum, Kanban, and Lean; and LLMOps practices including observability, monitoring, and evaluation frameworks.

Responsibilities

Build Teams that thrive. As an experienced leader, you want everyone to shine. You are constantly looking for ways to share your knowledge, motivate others, and keep everyone engaged and productive.
Learning. You’re always learning new technologies and processes with tools and other training courses, conferences ADP offers, and operating with a “learn as you go” approach with a willingness to figure out new ways of doing things.
Create Results. You’re proactive and hands-on. When you see a potential issue, you never leave things hanging and unfinished. When you and your team deliver a finished product, it’s as polished as you could make it.
Continuous Learning. You will actively collaborate with other associates to share ideas or show what you’ve learned. You are eager to learn, keep up with ever-changing technologies, and maintain the ability to create the best tools for our clients.
Variety of work. There is no typical day. You could be checking in with a team in India one minute, meeting with leadership to review initiatives for the coming quarter later and tomorrow handling a few ad hoc requests from your peers in other departments.
Influence and inspire confidence. You are comfortable presenting to senior leaders, product owners, and peers with a compelling voice that you demonstrate through executive presence, leading change, and creating clear executive-level communications on milestone achievements.
Challenges. Inevitable challenges will arise, and we’ll rely on you to look for a solution.
Responsible for design and architecture of Large Language Model (LLM) solutions for complex business problems, with a primary focus on automating client onboarding processes.
Collaborate with implementation teams to identify gaps in current product features and design scalable LLM-powered solutions to address those gaps.
Partner with Technical Product Managers (TPM) to develop and prioritize product roadmaps that deliver strategic enhancements and drive business value.
Design and implement high-performance LLM applications and systems using frameworks such as LangChain, LlamaIndex, and foundation models (GPT-4, Claude, Llama).
Develop and maintain scalable LLMOps pipelines including prompt engineering, fine-tuning, evaluation frameworks, and monitoring systems.
Implement retrieval-augmented generation (RAG) architectures and vector databases for enhanced model performance.
Evaluate model performance through systematic testing, A/B testing, and observability tools, identifying areas for optimization and improvement.
Collaborate with cross-functional teams including data scientists, software engineers, product managers, and implementation teams to translate business requirements into LLM-powered technical solutions.
Work closely with software engineers to integrate LLM applications into product architecture, ensuring seamless deployment, maintenance, and monitoring through comprehensive LLMOps practices.
Provide technical leadership and mentorship to engineering teams, documenting and communicating technical design decisions and best practices to stakeholders across the organization.
Drive innovation by staying current with the latest advancements in LLMs, generative AI, and prompt engineering techniques, and applying emerging technologies to solve business challenges.
Build and maintain robust LLMOps infrastructure using modern development tools and practices, including containerization (Docker/Kubernetes), CI/CD pipelines (Jenkins, Ansible), and cloud platforms (AWS or Azure).
Develop RESTful APIs and GraphQL services to enable efficient integration of LLM capabilities into existing systems.
Implement observability and monitoring solutions for LLM applications, including token usage tracking, latency optimization, and cost management.