AI/ML Engineer

CleanSlate Technology Group (CSTG) is a modern technology consulting firm transforming how organizations use Data, AI, and Cloud Modernization to fuel innovation. As a top-tier cloud partner, we design and deliver cloud-native solutions and modern data platforms that unlock the power of data, accelerate digital transformation, and enable businesses to build what’s next. We help clients break through legacy limitations, simplify complexity, and create future-ready technology foundations that inspire new possibilities. At CSTG, you’ll be part of a team that empowers organizations to innovate faster, make smarter decisions, and compete boldly in a rapidly evolving digital world.

Introduction

CleanSlate Technology Group (CSTG) is a modern technology consulting firm focused on leveraging Data, AI, and Cloud Modernization to drive innovation. As a premier cloud partner, we specialize in designing and delivering cloud-native solutions and advanced data platforms. These solutions are crafted to unleash the power of data, accelerate digital transformation, and empower businesses to build the future.

We assist clients in overcoming legacy constraints, simplifying complex challenges, and establishing future-ready technology foundations that inspire new possibilities. At CSTG, you will join a team dedicated to enabling organizations to innovate faster, make smarter decisions, and compete effectively in a rapidly evolving digital landscape.

Our Data and AI Practice collaborates with clients to establish scalable, reliable data foundations across AWS and Azure. We emphasize modern data engineering—developing data platforms and pipelines that support analytics, machine learning, and AI in real-world production environments. We believe that robust data engineering is fundamental to making AI practical, trustworthy, and sustainable.

CSTG consultants integrate proven engineering methodologies with a hands-on consulting approach, guiding clients from strategy to implementation and delivering solutions that meet genuine business needs.

Our teams are highly collaborative and cross-functional, combining CSTG consultants with client stakeholders to tackle complex data challenges. We seek engineers who are inquisitive and pragmatic, with a primary focus on data engineering and a complementary understanding of AI and machine learning to build resilient, production-ready data solutions.

As an AI/ML Engineer within CSTG’s Data and AI Practice, you will be a hands-on contributor, supporting the delivery of AI and machine-learning solutions for client engagements. You will work within a delivery team to develop and implement AI and machine-learning solutions, including generative AI and agent-based use cases, for deployment in client production systems.

AI/ML Engineers at CSTG focus on execution and growth, applying established techniques, learning best practices for AI system development, and contributing to solution delivery under the guidance of senior team members. This consulting role involves direct interaction with client stakeholders, requiring excellent communication and a professional demeanor.

This position emphasizes skill development, collaboration, and gaining experience in delivering reliable, high-quality AI solutions in real-world settings.

Responsibilities

• Contribute to the development and delivery of AI and machine-learning solutions for client engagements, including generative AI and agent-based capabilities.
• Implement AI workflows, services, and integrations that operate seamlessly with data and application platforms.
• Apply established AI techniques, patterns, and tools to address well-defined problems.
• Participate in design discussions, reviews, and team feedback sessions.
• Collaborate with data engineers and application engineers to support production-ready AI solutions.
• Adhere to responsible AI practices, encompassing awareness of data usage, bias, transparency, and privacy considerations.
• Write clear, maintainable code and supporting documentation.
• Continuously develop skills in AI, machine learning, and production delivery practices.

Requirements

• 2+ years of experience building or supporting AI or machine-learning solutions.
• Proficiency in Python for AI or machine-learning development.
• Familiarity with machine learning, generative AI, or agent-based approaches.
• Experience working with structured or unstructured data for AI use cases.
• Basic understanding of model evaluation, performance considerations, and limitations.
• Exposure to deploying or supporting AI solutions in production or near-production environments.
• Familiarity with AWS and/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 Have

• Experience with LLM platforms or tools such as Amazon Bedrock, Azure AI Foundry, or similar.
• 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.
• Previous consulting or client-facing experience.

Benefits

(No benefits information was provided in the original job description.)

About Company

CleanSlate Technology Group (CSTG) is a modern technology consulting firm focused on leveraging Data, AI, and Cloud Modernization to drive innovation. As a premier cloud partner, we specialize in designing and delivering cloud-native solutions and advanced data platforms. These solutions are crafted to unleash the power of data, accelerate digital transformation, and empower businesses to build the future. We help clients overcome legacy constraints, simplify complex challenges, and establish future-ready technology foundations that inspire new possibilities. At CSTG, you will join a team dedicated to enabling organizations to innovate faster, make smarter decisions, and compete effectively in a rapidly evolving digital landscape.

How to Apply

Please apply through the provided application link.