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Machine Learning Engineer - ContractEliassen GroupUnited States
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Machine Learning Engineer - Contract

Eliassen Group
  • US
    United States
  • US
    United States

À propos

Machine Learning Engineer - Contract We are looking for a dedicated and hands-on Machine Learning Engineer to join our team and contribute to the development of cutting-edge generative AI solutions. In this role, you will have the opportunity to work with large language models, cloud-based AI platforms, and modern data systems to transform unstructured data into intelligent, production-ready applications. You will collaborate with cross-functional teams and be responsible for critical components in model development, integration, and deployment within real-world settings. This is a W2 contract position, and applicants must work on a W2 basis. We offer an attractive benefits package for our W2 consultants, including medical, dental, vision, 401k with company matching, and life insurance. Compensation:
$40.00 to $48.00/hr. Key Responsibilities: Design, build, and maintain large language model (LLM) agents and tools using Python, TensorFlow, and modern ML libraries. Utilize cloud platforms like AWS, GCP, or Azure, along with AI/ML services for model training, fine-tuning, and deployment. Implement and optimize retrieval augmented generation (RAG) pipelines employing vector and graph databases. Develop workflows for processing unstructured data, including text and images. Deploy generative AI models such as Gemini, Claude, or GPT variants in production environments. Work collaboratively within a structured engineering environment to ensure adherence to technical leveling and quality standards. Experience Requirements: At least 2 years of experience with a Bachelor's in a STEM field or 1 year with a Master's, focusing on machine learning and software development. Hands-on experience with AWS, GCP, or Azure AI/ML services for model training, fine-tuning, and deployment. Proficiency in Python and TensorFlow, along with common ML libraries for LLM system development. Practical experience with generative AI models such as Gemini, Claude, or GPT variants. Familiarity with vector databases like Milvus or Postgres, along with graph databases and knowledge representation techniques, including RAG. Ability to effectively process and transform unstructured data from various media. Educational Qualifications: A Bachelor's degree in a STEM field with a minimum of 2 years of relevant experience, or a Master's degree in a STEM field with at least 1 year of relevant experience. At Eliassen Group, we prioritize transparency in our recruitment. Please note that we utilize AI tools for initial screening. You may receive notifications from our recruiting team inviting you to complete a brief voice screening as part of your application. All AI-assisted evaluations are reviewed by human recruiters prior to hiring decisions. These measures are in place to ensure fairness, efficiency, and consistency in our hiring practices. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. We welcome applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Don't miss our referral program! If a candidate you refer is hired, you are eligible for a $1,000 referral bonus!
  • United States

Compétences linguistiques

  • English
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