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Manager Edge Ai Machine Learning Jobs in Indiana

Senior Machine Learning Engineer

Union City, IN · On-site +1

$95.20K - $130.70K/yr

... edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho ... product managers to drive the next generation of Kensho's AI products. Why Join Us? Kensho is ...

Senior Machine Learning Engineer

Union City, IN · On-site +1

$95.20K - $130.70K/yr

... edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho ... product managers to drive the next generation of Kensho's AI products. Why Join Us? Kensho is ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

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Manager Edge Ai Machine Learning information

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

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AI/Machine Learning Engineer

CleanSlate Technology Group

Carmel, IN • On-site

$96.70K - $132.40K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Type
Full-time
Description
CleanSlate Technology Group is a leading multi-cloud technology consulting firm specializing in building modern solutions around SaaS products, IoT, and Data and Analytics that move businesses forward. From custom cloud-native development to driving modern data platforms, we develop and deploy solutions that deliver greater agility, faster speed to innovation and more resiliency to handle what the future brings. CSTG looks to inspire innovation with our clients to help them compete in the new digital landscape.
CleanSlate is adding an experienced AI/Machine Learning Engineer to its established Cloud Data and Analytics team. The ideal team member for CSTG is a person who can deliver advanced AI solutions in a modern way while leveraging cloud-native experimentation, training, and testing and has a passion for solving real-world business problems through innovative use of ML, AI, and Generative AI. The primary focus of an ML/AI Engineer is to help our clients build reliable, performant, and scalable solutions to help drive our customers' businesses forward.
Job Summary

  • 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)
  • AWS Machine Learning Certification
  • Azure AI Engineer Associate Certification
  • 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

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