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QX Lab AI

3 months ago

india QXLab AI Full time

Name of Company : QX LAB AI

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.

- 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 production-level 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.

- Clearly articulate machine learning concepts and the implications of model outcomes to non-technical stakeholders through presentations and written documentation.

Qualifications :

- Familiarity with the foundational architectures in LLMs such as Transformers, GPT variants, BERT, etc

- Proficient in deploying popular pre-trained model like GPT-4, BERT, and their derivatives.

- Knowledge of optimization techniques for serving LLMs, including quantization, distillation, and on-the-fly 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.) environment, ensuring that models are easily maintainable, scalable, and robust.

(ref:hirist.tech)