Lead Machine Learning Engineer

Insight Global; Newark (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

Insight Global is hiring an experienced Machine Learning Engineer to lead the engineering and deployment of machine learning and agentic AI solutions for a major financial services client. You will architect semantic knowledge layers, knowledge graphs, and Graph RAG capabilities to enable LLMs and AI agents to reason over complex business data.

You will develop data ingestion, retrieval, memory, and semantic pipelines and build applications using Python, SQL, and modern ML frameworks.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Strong experience developing and deploying machine learning and Agentic AI solutions in production environments.
• Strong experience with knowledge graphs.
• Hands-on experience with LLMs, multi-agent systems, orchestration frameworks, memory management, guardrails, human-in-the-loop controls, and agent observability.
• Strong software engineering fundamentals, including object-oriented programming, system design, microservices, REST APIs, distributed computing, version control, and testing.
• Experience with Python and SQL, along with modern AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Experience designing and implementing scalable data ingestion, transformation, retrieval, and processing pipelines.
• Understanding of data governance, schema evolution, data lineage, ontology lifecycle management, and enterprise data architecture.
• Experience with CI/CD pipelines, automated testing, model deployment, model versioning, and production monitoring.
• Experience with semantic layers, ontologies, and Graph RAG architectures.
• Experience with AI testing, evaluation frameworks, or harness engineering.
• Experience with cloud-native AI/ML platforms and services such as AWS, Azure, GCP, or SageMaker.
• Knowledge of relational, NoSQL, and graph databases, including semantic data models.

Responsibilities

• Architect semantic knowledge layers, knowledge graphs, and Graph RAG capabilities enabling LLMs and AI agents to reason over complex business data and relationships.
• Develop data ingestion, retrieval, memory, and semantic pipelines.
• Build and optimize applications using Python, SQL, and modern LLM frameworks.
• Leverage cloud technologies to deploy AI solutions at scale.
• Provide technical leadership and drive innovation across AI initiatives.
• Support ontology design, data governance, schema evolution, data lineage, CI/CD automation, and enterprise system integration.

Skills

Knowledge graphs

LLMs

Multi-agent systems

Orchestration frameworks

Memory management

Guardrails

Human-in-the-loop

Agent observability

OOP

System design

Microservices

REST APIs

Distributed computing

Version control

Testing

Python

SQL

PyTorch

TensorFlow

scikit-learn

Data pipelines

Data governance

Schema evolution

Data lineage

Ontology lifecycle

CI/CD

Automated testing

Model deployment

Model versioning

Production monitoring

Semantic layers

Ontologies

Graph RAG

AI testing

Evaluation frameworks

Harness engineering

AWS

Azure

GCP

SageMaker

RDBMS

NoSQL

Graph databases

Semantic data models

Education

Bachelor’s degree in Computer Science, Engineering, or a related technical field

Master’s degree in Computer Science, Engineering, Data Science, or a related field

Tools

Python

SQL

PyTorch

TensorFlow

scikit-learn

AWS

Azure

GCP

SageMaker

Job description

Job Description

Insight Global is hiring an experienced Machine Learning Engineer to support one of its largest financial services clients. This individual will lead the engineering and deployment of machine learning and agentic AI solutions while partnering with Data Scientists, Data Engineers, Data Analysts, DevSecOps, and other cross-functional teams to deliver scalable, production-ready systems. Responsibilities include architecting semantic knowledge layers, knowledge graphs, and Graph RAG capabilities that enable large language models and AI agents to reason over complex business data and relationships; developing data ingestion, retrieval, memory, and semantic pipelines; building and optimizing applications using Python, SQL, and modern LLM frameworks; and leveraging cloud technologies to deploy AI solutions at scale. The role will also support ontology design, data governance, schema evolution, data lineage, CI/CD automation, and enterprise system integration while providing technical leadership and driving innovation across AI initiatives.

Skills and Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• Strong experience developing and deploying machine learning and Agentic AI solutions in production environments
• Strong experience with knowledge graphs
• Hands-on experience with LLMs, multi-agent systems, orchestration frameworks, memory management, guardrails, human-in-the-loop controls, and agent observability
• Strong software engineering fundamentals, including object-oriented programming, system design, microservices, REST APIs, distributed computing, version control, and testing
• Experience with Python and SQL, along with modern AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Experience designing and implementing scalable data ingestion, transformation, retrieval, and processing pipelines
• Understanding of data governance, schema evolution, data lineage, ontology lifecycle management, and enterprise data architectureExperience with CI/CD pipelines, automated testing, model deployment, model versioning, and production monitoring
• Master’s degree in Computer Science, Engineering, Data Science, or a related field
• Experience with semantic layers, ontologies, and Graph RAG architectures
• Experience with AI testing, evaluation frameworks, or harness engineering
• Experience with cloud-native AI/ML platforms and services such as AWS, Azure, GCP, or SageMakerKnowledge of relational, NoSQL, and graph databases, including semantic data models

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].