Associate AI/ML Engineer

CleanSlate Technology Group • Austin, TX

13d

About The Position

CleanSlate Technology Group (CSTG) is a technology consulting firm focused on Data, AI, and Cloud Modernization. Through its Data and AI Practice, CSTG partners with clients to build scalable, reliable data foundations across AWS and Azure and develop data platforms and pipelines that support analytics, machine learning, and AI in production environments.

The Associate AI/ML Engineer supports client delivery by completing defined development, testing, and documentation tasks with guidance from experienced engineers. The role contributes to AI and machine learning solutions—including generative AI and agent-based use cases—that are incorporated into client production systems. The engineer applies established techniques, learns engineering best practices through project work and code reviews, communicates progress, raises blockers, and participates in client discussions with support from experienced consultants. Success involves completing work with increasing independence, incorporating feedback, documenting results, and developing sound engineering habits.

Requirements

• Foundational hands-on experience building or supporting AI or machine learning solutions through professional work, internships, coursework, research, or personal projects.
• Foundational Python skills, including the ability to write, read, and debug simple code for data preparation or AI and machine learning tasks.
• Familiarity with machine learning, generative AI, or agent-based approaches.
• Foundational experience preparing or working with structured or unstructured data for AI use cases, including checking data quality.
• Foundational understanding of version control and tooling such as Git.
• Exposure to deploying solutions across multistage environments, including development, test, and production.
• Familiarity with AWS, Databricks, or Azure services.
• Understanding of foundational data engineering concepts, such as data pipelines and data quality.
• Ability to communicate technical concepts clearly within a team and with client stakeholders.

Nice To Haves

• Exposure to LLM platforms or tools such as Amazon Bedrock, Azure AI Foundry, or similar.
• Experience with agentic tooling such as AWS Quick, Claude, Copilot, OpenClaw, Dots, or Grok Bot.
• Exposure to agentic development using tools such as Claude Code, Kiro, or Cursor.
• Exposure to MLOps practices, including model versioning or monitoring.
• Experience working alongside data engineering teams on shared solutions.
• AWS, Azure, or entry-level AI/ML certifications.
• Databricks or Snowflake certifications, or willingness to obtain them.
• Claude certifications, or willingness to obtain them.

Responsibilities

• Complete assigned development tasks for client AI and machine learning solutions, including generative AI and agent-based capabilities, using established approaches and guidance from experienced engineers.
• Build and test defined components of AI workflows, services, and integrations alongside data and application platforms, following team designs and review processes.
• Apply established AI techniques, patterns, and tools to solve well-defined problems.
• Run established tests and evaluation procedures, document results and model limitations, and raise unexpected outputs or data quality concerns for review.
• Participate in design discussions, reviews, and team feedback sessions.
• Collaborate with data and application engineers on assigned tasks that help prepare AI solutions for production, following established testing, deployment, and review procedures.
• Follow project guidance for data usage, bias, transparency, and privacy; document concerns and seek guidance when requirements are unclear.
• Write clear, maintainable code for assigned tasks, participate in code reviews, incorporate feedback, and document implementation details and test results.
• Continue developing skills in AI, machine learning, and production delivery practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed