Machine Learning Engineer

at  Elder Research

Herndon, VA 20170, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate11 Aug, 2024Not Specified11 May, 20245 year(s) or aboveJenkins,Computer Engineering,Text Classification,Gemini,Python,Aws,Automation Tools,Computer Science,Pandas,Data Science,Google Cloud,Azure,Statistical Concepts,Data ManipulationNoNo
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Description:

SUMMARY OF POSITION:

We seek an energetic self-starter with a deep understanding of machine learning, data science, and a passion for applying these technologies to solve business challenges. As part of our team, you’ll help us leverage commercial models, build custom models, and develop sophisticated tools to provide our customers with unparalleled context and insights. If you’re eager to push the boundaries of recent machine learning advancements, embrace change, and contribute to our team’s success, we encourage you to apply.

JOB SPECIFICATIONS/REQUIREMENTS:



    • 5+ years of professional experience as a data scientist or ML engineer

    • Bachelor’s Degree in Computer Science, Computer Engineering, or Data Science
    • Expertise in data cleaning and preprocessing techniques to handle noisy, incomplete, or inconsistent data
    • Experience with data manipulation, analysis, and visualization libraries (pandas, numpy, matplotlib, scikit-learn).
    • Solid understanding of statistical concepts (e.g. metrics, error types, distributions)
    • Proficiency with machine learning frameworks and related libraries (e.g. PyTorch, scikit-learn, XGBoost, spaCy)
    • Experience building ML/AI capabilities to solve NLP problems (e.g. text classification, text summarization, named entity recognition, sentiment analysis)
    • Knowledgeable about deep learning architectures (Feed Forward, Transformers, CNNs, RNNs, GANs)
    • Excellent communication and technical writing skills
    • Exhibits technical curiosity and a passion for innovating
    • Proficient in Python
    • Comfortable working in a Linux environment
    • Familiarity with cloud computing platforms such as AWS, Google Cloud, Azure
    • Familiarity with CI/CD automation tools such as Jenkins, GitOps, CodePipeline
    • Experience with version control systems, preferable Git
    • Experience with MLOps including building, evaluating, deploying, scaling, and validating ML models in a production environment
    • Experience working with Large Language Models (LLMs) - prompt engineering, prompt chaining, retrieval-augmented generation (RAG), hallucination mitigation
    • Experience utilizing the latest Generative AI Technologies (ChatGPT, Gemini, Claude, etc)
    • Experience working with Jupyter notebooks and/or JupyterLab
    • Experience working within the Agile framework

    Responsibilities:

    Please refer the Job description for details


    REQUIREMENT SUMMARY

    Min:5.0Max:10.0 year(s)

    Information Technology/IT

    IT Software - System Programming

    Software Engineering

    Graduate

    Computer science computer engineering or data science

    Proficient

    1

    Herndon, VA 20170, USA