CleanSlate Technology Group is hiring: AI/Machine Learning Engineer in Carmel

AI / Machine Learning Engineer at CleanSlate Technology Group

Job Summary

CleanSlate is adding an experienced AI / Machine Learning Engineer to its established Cloud Data and Analytics team. The ideal candidate will deliver advanced AI solutions using cloud-native experimentation, training, and testing, and solve real-world business problems through innovative use of ML, AI, and Generative AI.

Responsibilities

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

Requirements

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.

Preferred Qualifications

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 modelsWorking knowledge of MLOps and the ability to consult on implementation concepts

Working knowledge of Feature Stores and how they bridge experimentation and productionizing boundaries

Location

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

Seniority level

Associate

Employment type

Full-time

Job function

Engineering and Information Technology

IT Services and IT Consulting

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