\\\\Machine Learning Engineer\\\\ \\\\Anywhere\\\\ \\\\Type:\\\\ Contract \\\\Category:\\\\ DevOps \\\\Industry:\\\\ Life Sciences \\\\Workplace Type:\\\\ Remote \\\\Reference ID:\\\\ JN -022026-105325 \\\\Date Posted:\\\\ 02/01/2026 \\\\Shortcut:\\\\ \\+ Description \\+ Recommended Jobs \\\\Description:\\\\ \Remote\\ Were seeking a handson Machine Learning Engineer to help design, build, and deploy nextgeneration generative AI solutions. In this role, youll work with large language models, cloudbased AI platforms, and modern data systems to turn unstructured data into intelligent, productionready applications. Youll collaborate closely with crossfunctional teams while owning key components across model development, integration, and deployment in realworld environments. \Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.\\ Rate: $40.00 to $48.00/hr. w2 \\\\Responsibilities:\\\\ \\+ Design, build, and maintain LLM agents and tools using Python, TensorFlow, and modern ML libraries. \\+ Leverage cloud platforms such as AWS, GCP, or Azure and associated AI/ML services for model training, fine-tuning, and deployment. \\+ Implement and optimize retrieval augmented generation pipelines using vector and graph databases. \\+ Develop data processing workflows to clean, preprocess, and transform unstructured data including text and images. \\+ Deploy generative AI models such as Gemini, Claude, or GPT variants into production environments. \\+ Collaborate within a structured engineering environment to meet defined technical leveling and quality standards. \\\\Experience Requirements:\\\\ \\+ Minimum 2 years of experience with a Bachelors in a STEM field or 1 year with a Masters, with a foundation in machine learning and software development. \\+ Hands-on use of AWS, GCP, or Azure AI/ML services for training, fine-tuning, and deployment. \\+ Proficiency in Python and TensorFlow, plus common ML libraries for building LLM-based systems. \\+ Practical experience with generative AI models such as Gemini, Claude, or GPT variants. \\+ Experience with vector databases such as Milvus or Postgres, as well as graph databases and knowledge representation techniques, including RAG. \\+ Demonstrated capability to process and transform unstructured data across text, images, and other media. \\\\Education Requirements:\\\\ \\+ Bachelors degree in a STEM field with at least 2 years of relevant experience, or Masters degree in a STEM field with at least 1 year of relevant experience. \\\\\Recruitment Transparency Notice\\\\\ \\\\\Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (\\\\\ \\\\\\\\\\\ \\\\\\ 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Groups use of these tools, including AI tools, as part of the application and hiring process.\\\\\* \Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.\\ \W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.\\ \Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact\\\\\ \\\\_ \About Eliassen Group:\\ \Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.\\ \Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.\\ \Dont miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!\\

A Bachelor's degree in a STEM field with a minimum of 2 years of experience is required, or a Master's degree in a STEM field with at least 1 year of experience. This foundation should include machine learning and software development. Practical experience with cloud AI/ML services from AWS, GCP, or Azure for training, fine-tuning, and deployment is necessary. Proficiency in Python and TensorFlow, along with common ML libraries for building LLM-based systems, is essential. The role also requires hands-on experience with generative AI models like Gemini, Claude, or GPT variants, and familiarity with vector databases such as Milvus or Postgres, as well as graph databases and RAG. The ability to process and transform unstructured data across text, images, and other media is also a key requirement.