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    Machine Learning Engineer - Santa Clara, CA, United States - Nutanix

    Nutanix
    Nutanix Santa Clara, CA, United States

    6 days ago

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    Description
    The AI / Machine Learning team is building the industry's leading Machine Learning models for use cases at scale.

    This team is also responsible for pushing the boundaries of applied Machine Learning and state-of-the-art Generative AI techniques on a challenging and diverse dataset.

    The team is at the forefront of building frameworks for Responsible AI development.

    In this senior-level role, you will own, train, build and deploy cutting edge deep learning models across all Eightfold products, end to end.

    Build on top of Open Source LLM (Large Language Models) to leverage a diverse dataset.
    Create industry best practices for Machine Learning for Recruiting and HR industry around the globe
    Do it responsibly to provide equal opportunity for everyone by extending our internal model fairness platform
    Create innovative algorithms for Machine Learning & AI
    Implement best practices for building AI-enabled products
    Develop AI-based systems for Natural Language Processing (NLP)
    Optimize Machine Learning models for time efficiency, performance, cost, scalability, and accuracy
    Develop tools and processes for automatically train, updating and evaluate LLM (Large Language Models)
    Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP
    Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
    Ability to work cross-functionally & interface with data science experts across all Eightfol's customer base
    Familiar with LLM (Large Language Models), transformers like BERT, GPTs, T-5, HuggingFace etc.
    Exceptionally strong knowledge of CS fundamental concepts and ML languages ( like Python, C, C++, Java, JavaScript, R, and Scala, etc. )

    Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning.

    Prior experience building and deploying machine learning models in production at scale

    Understanding of data and ML systems with the ability to think across stack layers - REST APIs, microservices, data ingestion and processing systems, and distributed systems.

    Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.).

    Experience implementing production machine learning systems, working with large-scale datasets, and a solid understanding of machine learning theory.
    Familiar with a cloud-based environment such as AWS, Azure or GCP
    Metrics-focused and passionate about delivering high-quality models.
    Experience with analyzing large data sets, using Hadoop, Spark
    Familiarity with MLOps tools and pipelines (MLflow, Metaflow).
    PhD or Masters in Computer Science or Data Science is preferred
    At Eightfold, We are a team of self-starters who excel in their fields


    Hybrid Work @ Eightfold:

    We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work.

    We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team.

    Starting February 1, 2024, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office twice a week.

    ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.

    Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.

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