CleanSlate Technology Group - AI/Machine Learning Engineer

• Hands-on development and data engineering
• Participate in development and team meetings lead by project manager or scrum master
• Work in a blended environment with client and other CSTG team members
• Achieve required certifications
• Leads the delivery of technical implementations for a specific technical domain
• Has depth of technical knowledge
• Researches and evaluates a variety of mainstream and emerging technologies
• Captures functional and non-functional requirements for a specific task
• Builds and communicates designs in a manner for others to follow
• Ensures technical soundness and quality for a solution
• In conjunction with Delivery Manager, participates in technical planning and project estimation
• Collaborates and communicates well with technical team members
• Lead code review sessions to ensure code quality, performance, and maintainability
• Demonstrated ability to coach and mentor individuals
• Strong ability to embrace ambiguity
• Always a team player. Able to resolve conflict and treat others with respect
• 2+ years machine learning experience building complex Data/AI solutions
• 2+ years implementation experience using Python and related ML libraries (SciKit-Learn, Pandas, PyTorch, Keras, Tensor Flow or any combination thereof)
• Ability to apply correct ML Model to the problem (e.g. Linear / Nonlinear Regression, Random Forest, Neural Networks [RNN vs CNN, Transformer and the like], supervised vs. unsupervised learning, etc.)
• Some experience or a working knowledge of Generative AI LLMs, pretraining, fine-tuning, transfer learning, instruction fine-tuning, etc.

• Previous consulting experience
• Masters Degree in Data Science, Machine Learning, Mathematics or related education
• AWS or Azure ML experience and/or certification
• Experience building high volume ML pipelines with Databricks, Spark, or similar using PySpark or Scala (SparkML experience a plus)
• Ability to communicate complex ideas and designs to client teams
• Ability to consult with and provide leadership to client data science teams
• Ability to work with Data Engineers to implement real-world prediction services or ML/AI as a service
• Experience with Sagemaker and / or Azure ML (AWS Bedrock a plus)

• Working knowledge or experience working with Data Lakes / Lake Warehouses as the source for ML / AI experimentation, training, and testing
• Experience productionizing AI models
• Working knowledge of MLOps and the ability to consult on implementation concepts
• Working knowledge of Feature Stores and how they bridge experimentation and productionizing boundaries

*Must be located in either the Greater Indianapolis Area OR the Greater St.

Louis Area