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Monmouth Junction

    Gen AI Solutions Engineer - Monmouth Junction, United States - First Soft Solutions

    First Soft Solutions
    First Soft Solutions Monmouth Junction, United States

    3 weeks ago

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    Description
    We are actively hiring Gen AI Solutions Engineer for our client project. Candidates should have atleast 1 project experience in GEN AI Project and very strong in Python Programming . since this project is executed in offshore(india) as well we need candidate with onsite offshore experience. Candidates work location is Monmouth Junction NJ. Hiring for below Job Titles and Locations USA: Gen AI Solutions Architect - 2 Positions Gen AI Engineer -1 Position India: Gen AI Engineer - 5 Positions Job Title: Gen AI Solutions Engineer Location: Monmouth Junction NJ Duration: 1 year with possible extension Rate: TDB Note: We are looking only candidates who can work on our W2 or 1099 No C2C. Job Description: Data Engineering Skills:
    • Hands on experience in Python Programming and SQL databases is a must.
    • work experience in ETL Tools, Data Modeling and frameworks
    • Experience with data pipeline and workflow management tools.
    • Experts in data warehousing and data lake concepts. -
    • Hand on experience in cloud services.(AWS,Google Cloud Platform,Azure)
    • Strong analytic skills related to working with unstructured datasets.
    • Experience with MLOps is preferred but not required.
    GenAI/LLM Skills:
    • Atleast 1 project Hands on experience with AI and Machine Learning algorithms.
    • Hands on experience in Python, R, or other programming languages used in AI.
    • Knowledge with AI platforms and understanding of their capabilities and limitations.
    • Experience with Natural Language Processing (NLP).
    • Understanding of RAG, neural networks, and other AI/ML concepts.
    • Ability to design and implement AI models.
    • Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
    Required Experience:
    • 5-8+ years of experience
    • A degree in Mathematics, Data Science, Computer Science or a related field (MS or PhD preferred)
    • LLM (any/multiple) experience Python, TensorFlow, PyTorch, Keras and AWS
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