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    Machine Learning Engineer - San Mateo, United States - Intelletec Limited

    Intelletec Limited
    Intelletec Limited San Mateo, United States

    1 week ago

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    Description

    Machine Learning Engineer

    Location: San Mateo (Hybrid)

    Full Time

    Our client is building a revolutionary e-commerce experience on WhatsApp. Unlike traditional shopping experiences where you have to download an app, or sign up on a website, we allow customers to engage and transact directly within the thread.

    They are on a mission to create a best-in-class conversational commerce solution. They're in search of an experienced software engineer who can contribute significantly across the entire machine learning lifecycle and develop practical ML applications. In this role, you'll work on their conversational AI bots, enhance their e-commerce search and retrieval platform, and refine their product recommendation systems. Your key responsibility will be to bring our machine learning capabilities to life, directly impacting our customers' experience.

    This is a hybrid role and you will collaborate in their San Mateo office 3 days a week. Please be aware that due to the low success rate of the H1B visa lottery, we are unable to sponsor new visa applications.

    Requirements

    • 3+ years of work experience as a software engineer
    • A strong programming background with a lot of hands-on experience in building large-scale production systems
    • A strong algorithmic background and like intellectual challenges and solving complex problems
    • Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
    • Experience with ML(transformer models)
    • Bonus: familiarity with common ML Ops tooling/platforms (i.e.) Weights and Biases, Anyscale, Sagemaker, etc...
    • Bonus: familiarity with the AWS ecosystem.
    • Bonus: past projects building agentic language chains

    Responsibilities

    • Design and develop Connectlys state-of-the-art AI Marketing platform
    • End-to-end responsibility from developing a proof of concept to production
    • Own the whole ML life-cycle, define projects and drive excellence across teams
    • Work alongside the worlds leading engineers and researchers to solve some of the most exciting generation and prediction problems
    • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
    • Experimenting with new techniques for recommender systems
    • Suggest, collect and synthesize requirements and create effective feature roadmap

    For more information, please contact

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