Machine Learning Engineer

1 month ago


Princeton, United States Saxon Global Full time
Note: 2 PROFESSIONAL JOB REFERENCES WITH ONLY COMPANY EMAILS (NO PRIVATE EMAILS ARE ALLOWED)

TECHNICAL REQUIREMENTS:
  • Proven track record as a Machine Learning Engineer with 4+ years of corporate experience in ML.
  • Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace, etc.).
  • Excellent exposure TO LARGE SCALE MODEL DEPLOYMENT STRATEGIES AND TOOLS.
  • Excellent knowledge of Machine Learning & Deep Learning domains.
  • Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale.
  • Knowledge in AWS Technologies: Terraform, CFT, Lambda, Fargate, ECS and also in SQL, Docker and Django.
  • Experience with SOTA models related to Natural Language Processing (NLP) like Classification, Summarization, Phrase extraction, Table Extraction and OCR.
RESPONSIBILITIES:
  • Play a central role in all stages of the AI product development life cycle, including:
    • Designing Machine Learning systems and model scaling strategies.
    • Run necessary ML tests and benchmarks for model validation.
    • Fine-tune, retrain and scale existing model deployments.
    • Extend existing ML libraries and write packages for reproducing components.
    • Manage production pipelines for enterprise scale projects.
    • Perform code reviews & optimization for your projects and team.
GOOD TO HAVE:
  • Prior substantial experience regarding document processing


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