Machine Learning Lead ****Remote CST & EST Preferred
Role details
Job location
Tech stack
Job description
The Lead for our Software Engineering team serves as a subject matter expert for a specific team of Software Engineers working toward our new Lexis + AI initiative. You will be instrumental in driving the design, development, and operationalization of scalable, robust solutions working closely with data scientists and engineers to deliver high-impact features for our customers. This is a hands-on leadership role that also requires technical mentoring, architectural thinking, and team guidance across the full application lifecycle. The position has direct reports., * Researching the applicability of cutting-edge AI technology in our features.
- You will work across multiple technologies around a core including: Python, AWS (EKS, S3, RDS, Terraform, etc.), AI/ML/Data Science libraries (Google ADK, pandas, faiss, etc.)
- Developing reusable AI evaluation frameworks.
- Designing agentic AI systems.
- Delivering AI powered features.
- Creating performance- and cost-optimised services.
- Helping to build AWS platform infrastructure with Terraform, such as RDS instances or EKS clusters.
- Mentoring less senior developers on coding best practices (TDD with pytest, Pythonic code, etc.)
- Writing and reviewing portions of detailed specifications for the development of moderately complex system components.
- Participating in development processes, and code reviews.
- Operating in a Scrum based development environment while collaborating with stakeholders.
- All other duties as assigned
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Requirements
- Experience working with a modern Python codebase.
- Experience with AWS or similar cloud providers, including knowledge of IaC solutions.
- Understanding Software Engineering techniques and processes.
- Strong interpersonal, communication, and presentation skills applicable to a wide audience.
- Experience with GenAI and agentic AI.
- Experience with Azure Pipelines & Terraform is desirable, but not essential.
Benefits & conditions
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan - Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity - Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
About the Business
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Illinois, the base pay range is $121,200 - $201,900.If performed in Chicago, IL, the base pay range is $126,900 - $211,500.If performed in New Jersey, the base pay range is $130,284 - $208,116.