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Job Description

Client is seeking a contract AI/ML Engineer to support the development and deployment of scalable, end-to-end AI solutions across the enterprise.

As an AI Engineer on the Data Science team, you will play a key role in productionizing machine learning models, building robust pipelines, and enhancing the overall AI platform. This role requires hands-on experience with Azure, Docker, and Azure Kubernetes Service (AKS), as well as strong knowledge of cloud-native MLOps best practices.

Responsibilities

Design and implement scalable, cloud-native ML pipelines for production AI solutions.

Collaborate with data scientists to operationalize ML models from prototypes to production.

Manage deployment of ML models using Azure Machine Learning and AKS.

Develop, containerize, and orchestrate services using Docker and Kubernetes.

Optimize cloud data and compute architectures to ensure cost-effective and reliable deployments.

Implement robust monitoring, logging, and CI/CD practices to support AI operations (MLOps).

Work closely with enterprise cloud architects to align AI solutions with clients infrastructure standards.

Contribute to the evolution of the best practices around AI/ML systems in production environments.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

Qualifications

Minimum 5 years of experience as a Data Scientist, with at least 2 years focused on machine learning engineering in cloud environments.

Proven experience deploying ML models in Azure, preferably with Azure Machine Learning, Docker, and AKS.

Hands-on experience building cloud-native pipelines for model training, scoring, and monitoring.

Familiarity with GenAI concepts and tools (experience operationalizing GenAI is a plus).

Proficiency in Python, SQL, and Linux-based development environments.

Strong understanding of MLOps principles, CI/CD pipelines, and production-grade APIs.

Effective communicator with strong problem-solving skills and ability to work across teams.

Education

Bachelors degree in Computer Science, Electronic Engineering, Data Science, or a related field. null

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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. 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 [email protected].