Data Science / ML Engineer

Sidram Technologies

  • Charlotte, NC
  • 3 days ago

    Highlights

    Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

    Numbers & Facts

    LocationCharlotte, NC

    Description

    URGENT HIRING DATA SCIENCE / ML ENGINEER

    Client: Synechron

    Job Title: Data Science / ML Engineer

    Location: Charlotte, NC

    Work Model: Work from Office Onsite

    Employment Type: W2 Only

    Experience: Overall 10+ Years Required

    Work Authorization: W2 Candidates Only

    The Role

    Responsibilities:

    Requirements

    Programming & Data Analysis

    Python

    SQL

    Pandas

    Jupyter Notebook

    Machine Learning & Data Science

    Supervised and Unsupervised Machine Learning

    Natural Language Processing (NLP)

    Statistical Analysis

    Model Evaluation Metrics:

    Precision

    Recall

    F1 Score

    ROC-AUC

    Generative AI & LLM Technologies

    Large Language Models (LLMs)

    Transformers & Self-Attention Architectures

    Prompt Engineering

    Embeddings

    Retrieval Augmented Generation (RAG)

    Hallucination Detection and AI Guardrails

    AI Frameworks & Evaluation Tools

    LangChain

    LangGraph

    LangSmith

    Galileo

    Databases

    MongoDB

    Vector Databases (Pinecone, Weaviate, Chroma, Milvus, FAISS)

    Application Development & DevOps

    FastAPI

    Git

    Jenkins

    CI/CD Pipelines

    OpenShift

    Linux

    Preferred Qualifications

    Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.

    Experience in Machine Learning, Data Science, or AI Engineering.

    Hands-on experience building and deploying enterprise-grade Generative AI applications.

    Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

    Strong understanding of MLOps, model monitoring, and production deployment practices.

    Familiarity with LLM evaluation, observability, and responsible AI principles.

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