Machine Learning Engineer (Python, TensorFlow) ML, AI 🏆
Eliassen Group
About the role
Position
Machine Learning Engineer (Python, TensorFlow) – Salary: $83,200 - 99,840 per year
About
At Eliassen Group we are looking for a ML, AI engineer!
Tech Stack
- AI
- AWS
- Azure
- Cloud
- Support
- LLM
- Machine Learning
- Python
- TensorFlow
- Machine-Learning
Requirements
- Minimum 2 years of experience in a STEM field with a Bachelors degree or 1 year with a Masters degree, encompassing machine learning and software development.
- Proficient in cloud platforms like AWS, Google Cloud Platform, or Azure for AI/ML services related to training, fine-tuning, and deployment.
- Strong command of Python and TensorFlow, as well as popular ML libraries for constructing LLM-based systems.
- Hands‑on experience with generative AI models including Gemini, Claude, or GPT variants.
- Familiarity with vector databases such as Milvus or Postgres, along with graph databases and techniques for knowledge representation, like RAG.
- Proven expertise in processing and transforming unstructured data, including text, images, and other media formats.
Responsibilities
- Design, develop, and sustain LLM agents and tools utilizing Python, TensorFlow, and contemporary ML libraries.
- Utilize cloud services such as AWS, Google Cloud Platform, or Azure along with their AI/ML offerings for model training and deployment.
- Create and enhance retrieval augmented generation pipelines employing vector and graph databases.
- Establish data processing workflows for cleansing, preprocessing, and transforming unstructured data, including text and images.
- Implement generative AI models such as Gemini, Claude, or GPT variants in production settings.
- Work collaboratively within a structured engineering environment to achieve specified technical standards and quality metrics.
Location
Walkers Brook Drive 55, Thornton, United States
Salary
$83,200 - 99,840 per year
Benefits & Perks
- Medical
- Dental
- Vision
- 401k plan with company matching
- Remote position
- Competitive pay rate between $40.00 and $48.00/hr on a W2 basis
About Eliassen Group
We are Eliassen Group, a premier consulting firm specializing in human-powered solutions for over 30 years. Our mission is to empower companies with innovative technology solutions across various domains, including finance, compliance, and clinical solutions. Our employees enjoy a comprehensive benefits package, including medical, dental, vision, and a 401k plan with company matching. We maintain offices across the U.S. and Europe, blending local engagement with global presence. We are dedicated to positively impacting the lives of our clients, consultants, and communities.
Additional Info
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Category: ML, AI Developer / Engineer
Question
Are you looking for ML, AI jobs in Thornton?
Requirements
- Proficient in cloud platforms like AWS, Google Cloud Platform, or Azure for AI/ML services related to training, fine-tuning, and deployment.
- Strong command of Python and TensorFlow, as well as popular ML libraries for constructing LLM-based systems.
- Hands-on experience with generative AI models including Gemini, Claude, or GPT variants.
- Familiarity with vector databases such as Milvus or Postgres, along with graph databases and techniques for knowledge representation, like RAG.
- Proven expertise in processing and transforming unstructured data, including text, images, and other media formats.
Responsibilities
- Design, develop, and sustain LLM agents and tools utilizing Python, TensorFlow, and contemporary ML libraries.
- Utilize cloud services such as AWS, Google Cloud Platform, or Azure along with their AI/ML offerings for model training and deployment.
- Create and enhance retrieval augmented generation pipelines employing vector and graph databases.
- Establish data processing workflows for cleansing, preprocessing, and transforming unstructured data, including text and images.
- Implement generative AI models such as Gemini, Claude, or GPT variants in production settings.
- Work collaboratively within a structured engineering environment to achieve specified technical standards and quality metrics.
Benefits
Skills
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