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    Stagiaire Machine Learning Engineer - Nova Scotia, Canada - Prodigy Labs

    Prodigy Labs
    Prodigy Labs Nova Scotia, Canada

    3 weeks ago

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    InternshipSHIP
    Description

    We are looking for a Machine Learning Engineer who has strong experience in building systems that accelerate the development and deployment of machine learning models, especially large language models (LLMs).

    You will partner closely with Machine Learning researchers and internal users to understand requirements and apply strong ML fundamentals to build high performance and reusable APIs and can also apply them in real production settings.

    Leverage appropriate storage hardware and data formats to improve read/re-read efficiency
    # Identify and remediate latency contributors especially IO bottlenecks, inefficient data shuffling, under/over utilized compute
    # Scale models by employing distributed training using Data / Model Parallelism techniques
    # Provide Subject Matter Expertise in Graph and Vector databases for various use cases including Knowledge Graphs, RAG etc.
    # Implement LLM observability and monitoring solutions
    # Mitigate reputation risk through AI driven Data Quality to ensure highest quality data and services are offered to clients


    Please Note:
    This is a hybrid position and will require at least 2 days in the office per week. 5-6 years of AI, Big Data and cloud expertise
    ~3-4 years of Alternative data experience
    ~2+ years of experience building machine learning training pipelines or inference services in a production setting
    ~ Experience with LLM deployment, fine tuning, training, prompt engineering, etc.
    ~ Experience with LLM inference latency optimization techniques, e.g. kernel fusion, quantization, dynamic batching, etc.
    ~ Experience building, deploying, and monitoring complex microservice architectures
    ~ Degree in Computer Science or Engineering
    ~ Agile Methodology
    ~ Expert level – Python, SQL
    Experience with any vector database
    Experience building front to back data pipelines comprising of data ingestion, enrichment, data quality, Analytics and reporting
    Experience with company KPIs and back testing of alternative data factors against company KPIs
    Experience with NLP techniques and transfer learning frameworks like BERT
    A Flexible Hybrid Working Environment
    Easily accessible downtown location
    Company paid health benefits: 100% medical, dental and vision coverage
    Corporate-discounted Gym Membership through GoodLife
    Access to an Employee & Family Assistance program (EAP)
    Social Events
    If you require accommodation at any stage during the recruitment process, please contact us at or call ext


    Inclusion & Diversity:
    We are committed to building a corporate culture with people who are excited to join our team, do their best work, and grow with us
    #


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