Designing and operating cloud - based MLOps capabilities supporting analytical and generative AI models. Collaborating with data science and business teams for high - impact AI solutions.
About the role
- Machine Learning Engineer developing scalable AI solutions at LexisNexis. Collaborating with data scientists and engineers to implement ML applications and infrastructure.
Responsibilities
- Delivering AI powered features
- Helping to build AWS platform infrastructure with CDK, such as Kubernetes services and vector databases
- Participating in development processes, and code reviews
- Operating in a Scrum based development environment while collaborating with stakeholders
- Proactively seeking to learn about best coding practices in Python and C#
Requirements
- Bachelor's / Master's degree plus 3+ years of work-related experience OR PhD with 2+ years of work-related experience
- Experience in writing code and tests in Python and C#
- Have experience and knowledge of applying LLMs including from OpenAI, Anthropic, Mistral, etc.
- Knowledge of AWS or similar cloud providers
- Understanding Software Engineering techniques and processes
- Strong interpersonal, communication, and presentation skills applicable to a wide audience
- Experience with Azure Pipelines and AWS CDK is desirable, but not essential.
Benefits
- Comprehensive, multi-carrier program for medical, dental and vision benefits
- 401(k) with match and an Employee Share Purchase Plan
- 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
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