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    Artificial Intelligence/Machine Learning Engineer - Anywhere in India/Multiple Locations - QXLab AI

    QXLab AI
    QXLab AI Anywhere in India/Multiple Locations

    1 day ago

    Default job background
    permanent Technology / Internet
    Description

    Job Title :
    AI/ML Engineer


    Description/Details of Company :


    At QX Lab AI, we are united by a common vision - empowering ordinary individuals with the tools to achieve extraordinary results.

    Our diverse team of dedicated professionals is passionately committed to a shared mission:

    to learn, share, and collaborate within a multilingual platform, ultimately striving to be a responsible Artificial General Intelligence (AGI) company.

    Embracing diversity and fostering a culture of growth, we recognize the strength that varied perspectives bring to our work.


    Our endeavors span across diverse neural language domains, with a focus on researching solutions that empower not only individuals but also corporations, large global institutions, and governments.

    We take immense pride in not only being sustainable but also a responsible AGI company, where our commitment to growth, culture, and diversity drives our pursuit of extraordinary results in the field of artificial intelligence.


    Roles and Responsibilities :

    • Design and implement machine learning algorithms tailored for specific research questions or operational needs, ensuring algorithmic fairness and interpretability when applicable.
    • Oversee data acquisition, storage, and distribution for machine learning projects, ensuring data quality and compliance with privacy policies.
    • Perform data preprocessing including normalization, transformation, and feature engineering to prepare it for machine learning models.
    • Develop machine learning models using frameworks like TensorFlow or PyTorch, focusing on scalability and efficiency.
    • Translate research algorithms into productionlevel code that can be integrated into Qx Lab AI's existing platforms or products.
    • Develop automated tools to monitor and report on model performance, identifying and addressing performance degradation or data anomalies as they arise.
    • Update models as needed based on performance metrics or new data.
    • Clearly articulate machine learning concepts and the implications of model outcomes to nontechnical stakeholders through presentations and written documentation.
    • Collaborate crossfunctionally with business stakeholders, software developers, and other engineers to integrate machine learning solutions into broader company operations.
    • Clearly articulate machine learning concepts and the implications of model outcomes to nontechnical stakeholders through presentations and written documentation
    • Collaborate with DevOps teams to deploy machine learning models in a cloudbased environment, ensuring that models are easily maintainable, scalable, and robust.

    Qualifications :

    Required :

    • Minimum of 6 years of experience in machine learning or a related field.
    • Familiarity with the foundational architectures in LLMs such as Transformers, GPT variants, BERT, etc
    • Proficient in deploying popular pretrained model like GPT4, BERT, and their derivatives.
    • Knowledge of optimization techniques for serving LLMs, including quantization, distillation, and onthefly sampling methods.
    • Bachelor's Degree in Computer Science, Engineering, Statistics, or a related field.
    • Strong programming skills in Python, C++, or other relevant languages.
    • Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
    • Strong knowledge of machine learning algorithms and principles.
    • Experience with cloud computing services (AWS, Azure, GCP, etc.)
    • Comprehensive understanding of training LLMs
    • Exceptional problemsolving abilities.
    • Excellent communication skills, both written and verbal.

    Preferred :

    • Master's Degree or PhD in a related field.
    • Experience with natural language processing (NLP) or computer vision.
    • Published research papers in the field of machine learning, AI, or specifically on LLMs.
    • Experience working in an Agile environment.
    )


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