Machine Learning Engineer Lead

WhiteCrow Research Pvt. Ltd.; Raleigh (NC); On-site; USD 140,000 - 210,000; Full time

Job summary

WhiteCrow Research Pvt. Ltd. in Raleigh, NC, seeks a seasoned Machine Learning Engineer Lead to steer a team of 4–5 ML engineers and shape scalable AI product systems.

You will mentor engineers, drive architectural decisions, and establish best practices for ML design, testing and deployment across enterprise-grade pipelines. You will oversee multi-step reasoning systems, guardrails, and evaluation frameworks to ensure reliable, safe AI outputs, with CI/CD and governance at the core of the role.

Qualifications

• 8-10 years of Machine Learning/Software Engineer experience
• 2-3 years of people management experience
• Master’s or Bachelor’s in CS is highly desirable
• Strong software engineering background with system design experience

Responsibilities

• Lead, mentor, and grow a team of 4–5 ML engineers.
• Provide architectural direction and code-level guidance.
• Establish engineering best practices for ML system design, testing, and deployment.
• Conduct design reviews, performance reviews, and technical roadmap planning.
• Standardize infrastructure patterns for LLM serving and retrieval systems.
• Define and implement enterprise-ready agentic frameworks.
• Architect multi-step reasoning systems.
• Lead decisions on deterministic workflows vs autonomous agents.
• Implement guardrails, safety layers, and traceability mechanisms.
• Develop evaluation frameworks to measure reasoning quality, hallucination rates and reliability.
• Establish CI/CD standards for ML lifecycle management.
• Ensure compliance with enterprise data governance and responsible AI standards.

Skills

Team leadership

ML engineering

Architectural direction

ML systems design

CI/CD for ML

Governance & safety

Evaluation frameworks

LLM serving

Education

Master’s degree in CS or related

Bachelor’s degree in CS

Tools

Python

ML frameworks

CI/CD tools

Job description

We are global talent research, insight and pipelining specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in-house research.

About our client

Our client is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision‑making and outcomes, and advance the rule of law around the world.

They help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. They assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. They collaborate with universities to educate students, and support nation‑building with governments and courts by making laws accessible and strengthening legal infrastructures. They partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking.

As a Machine Learning Engineer Lead, you will be responsible for...

• Leading, mentoring, and growing a team of 4–5 ML engineers.
• Providing architectural direction and code‑level guidance.
• Establishing engineering best practices for ML system design, testing, and deployment.
• Conducting design reviews, performance reviews, and technical roadmap planning.
• Standardizing infrastructure patterns for LLM serving and retrieval systems.
• Defining and implementing enterprise‑ready agentic frameworks.
• Architecting multi‑step reasoning systems.
• Leading decisions on deterministic workflows versus autonomous agents.
• Implementing guardrails, safety layers, and traceability mechanisms.
• Developing evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.
• Establishing CI/CD standards for ML lifecycle management.
• Ensuring compliance with enterprise data governance and responsible AI standards.

What you already have...

• 8-10 years of Machine Learning/Software Engineer experience
• 2-3 years of people management experience.
• Master’s degree or bachelor's degree, computer science degree is highly desirable.
• Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.