AI Solutions Architect
2 weeks ago
Employment Type: Contract (C2C/W2/1099) or Fulltime
Location: Atlanta, GA
About the Client:
Our client stands as a global frontrunner in Engineering and Research & Development (ER&D) services. With an impressive portfolio of 976 patents filed for 57 of the Global Top 100 ER&D investors, they are at the forefront of engineering innovation. Their remarkable contributions include pioneering technologies such as the World's first Autonomous Welding Robot, Solar 'Connectivity' Drone, and the Smartest Campus in the World.
Their specialization in engineering design, product innovation, smart manufacturing, and digital transformation influences every aspect of daily life. With 110 dedicated Innovation and R&D centers worldwide, the client excels in cutting-edge technology domains including 5G, Artificial Intelligence, Collaborative Robotics, Digital Factories, and Autonomous Transport.
Our client is a publicly traded subsidiary of a reputable $21 billion conglomerate with operations in over 30 countries.
About Us:
Lotus Technology Group, Inc. is committed to delivering outstanding IT services and solutions that empower clients to gain a competitive advantage while upholding the highest quality standards. We maintain robust and long-standing partnerships with IT Integrators and end customers, focusing on technology product and service providers.
Job Description & Skill Requirements:
- Bachelor’s degree in Computer Science, Software Engineering, or Electrical Engineering with a minimum of 5 years of relevant experience.
- Proven experience in developing and scaling generative AI applications, with familiarity in frameworks such as Langchain, PGVector, Pinecone, and AzureML.
- Candidates should possess Model Deployment experience alongside generative AI frameworks, having worked with at least one framework and having knowledge of AzureML.
- Industry experience with prominent Client frameworks such as Spark, MLlib, Keras, TensorFlow, PyTorch, and associated libraries (including scikit-learn, spaCy, gensim, CoreNLP).
- Candidates must demonstrate in-depth Model Development experience, particularly with CoreNLP skills, having worked with at least one framework.
- Experience in architecting scalable service controller frameworks using FastAPI, with the ability to develop APIs in FastAPI for both internal and external endpoints to assess the developed models.
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