Sr. Machine Learning Engineer – DevOps-Python-AWS

Summary:

DRC is looking for a data-driven Senior Machine Learning Engineer to play a key role in advancing our Education Data Science initiatives. This individual will lead DevOps efforts within an expanding technology team and help build scalable, serverless, cloud-based systems that drive educational learning analytics. As a part of an interdisciplinary team, you will also contribute to the development, optimization, and deployment of AI models for cutting-edge analytical products. The ideal candidate will have a strong background in cloud-native architecture, ETL development, and infrastructure automation. They should have at least 5 years of experience in software engineering, with a focus on Amazon Web Services (AWS), serverless computing, and CI/CD automation. A background in educational assessment and familiarity with machine learning technologies, such as large language models (LLMs), is highly preferred.

Essential Responsibilities:

• Design, implement, and manage cloud-based infrastructure using AWS, with a focus on serverless computing services such as Lambda, API Gateway, DynamoDB, and S3.

• Build and maintain ETL pipelines to support the ingestion, transformation, and delivery of educational assessment data.

• Develop and manage CI/CD pipelines to support application deployment, as well as automated testing.

• Work closely with data scientists, psychometricians, and software engineers to optimize ML workflows and ensure scalable infrastructure for research and analytics.

• Implement best practices for infrastructure security, monitoring, logging, and reliability.

• Continuously assess and integrate new tools and frameworks to improve system performance and developer productivity.

Required Qualifications:

• 5+ years of professional experience in DevOps, Cloud Engineering, or Software Development.

• Advanced experience with Amazon Web Services (AWS), including Lambda, S3, CloudFormation, Step Functions, ECS/Fargate.

• Proven expertise in building and maintaining ETL pipelines and data workflows.

• Proficiency in scripting and automation with tools like Python, Bash, or Node.js.

• Experience with CI/CD tools such as GitHub Actions and Jenkins, as well as infrastructure-as-code tools like CloudFormation or Terraform.

• Familiarity with monitoring and observability tools such as CloudWatch.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.

Preferred Qualifications:

• Experience in applying Machine Learning, Data Science, or Statistical techniques.

• Familiarity with modern machine learning frameworks like TensorFlow or PyTorch.

• Hands-on experience with large language models (e.g., OpenAI).

• Understanding of the unique challenges in educational assessment data.

Essential Job Requirements:

• Familiarity with Microsoft Office Suite.

• Ability to effectively collaborate and work respectfully with diverse teams.

• Capacity to perform well during periods of high workload.

• Strong organizational skills, with the ability to manage multiple tasks simultaneously and meet deadlines.

Reporting to this position: No direct reports.

Physical Requirements:

• Ability to sit or stand for up to 8 hours per day.

• Ability to work on a computer, using a keyboard and mouse, for extended periods.

• Ability to lift up to 20 pounds as needed.

Additional Information:

DRC reserves the right to modify or assign additional responsibilities to this position as required.

Equal Opportunity Employment:

We are an equal opportunity employer and encourage all qualified candidates to apply, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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