AI/Machine Learning Engineer
CleanSlate Technology Group
full-time
Posted on:
Location Type: Hybrid
Location: Carmel • Montana • United States
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About the role
- 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.
- Previous consulting experience (Preferred Qualifications)
- Masters Degree in Data Science, Machine Learning, Mathematics or related education (Preferred Qualifications)
- AWS or Azure ML experience and/or certification (Preferred Qualifications)
- Experience building high volume ML pipelines with Databricks, Spark, or similar using PySpark or Scala (SparkML experience a plus) (Preferred Qualifications)
- Ability to communicate complex ideas and designs to client teams (Preferred Qualifications)
- Ability to consult with and provide leadership to client data science teams (Preferred Qualifications)
- Ability to work with Data Engineers to implement real-world prediction services or ML/AI as a service (Preferred Qualifications)
- Experience with Sagemaker and / or Azure ML (AWS Bedrock a plus) (Preferred Qualifications)
- AWS Machine Learning Certification (Preferred Qualifications)
- Azure AI Engineer Associate Certification (Preferred Qualifications)
- Working knowledge or experience working with Data Lakes / Lake Warehouses as the source for ML / AI experimentation, training, and testing (Preferred Qualifications)
- Experience productionizing AI models (Preferred Qualifications)
- Working knowledge of MLOps and the ability to consult on implementation concepts (Preferred Qualifications)
- Working knowledge of Feature Stores and how they bridge experimentation and productionizing boundaries (Preferred Qualifications)
Benefits
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonSciKit-LearnPandasPyTorchKerasTensorFlowDatabricksSparkMLOps
Soft Skills
team playerconflict resolutioncoachingmentoringcommunicationleadershipcollaborationproblem-solvingadaptabilitytechnical planning
Certifications
AWS Machine Learning CertificationAzure AI Engineer Associate Certification