CleanSlate Technology Group
AI/Machine Learning Engineer
CleanSlate Technology Group, Carmel, Indiana, United States, 46033
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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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
#J-18808-Ljbffr