Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
About the role
- Machine Learning Engineer developing scalable AI solutions at LexisNexis. Collaborating with data scientists and engineers to implement ML / LLM based applications.
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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