Artificial Intelligence/Machine Learning Engineer
1 week ago
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.
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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