Machine Learning Engineer 3
Indexed description
- Assist in designing, developing, and evaluating Generative AI applications using Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems under supervision.
- Participate in implementing and optimizing prompt engineering techniques.
- Work on advanced machine learning and deep learning models for various applications (e.g., anomaly detection, NLP, computer vision)
- Work on data science platforms and pipelines for large-scale data processing and model deployment.
- Assist in performing data analysis and applying statistical methods for decision-making and risk management
- Collaborate with cross-functional teams and stakeholders to translate business requirements into data science solutions.
Job Type: Full Time
Job Location: Anywhere in USA
Apply for this position
Full Name *
Email *
Phone *
Cover Letter *
Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
By using this form you agree with the storage and handling of your data by this website. *
Job Duties
- Assist in designing, developing, and evaluating Generative AI applications using Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems under supervision.
- Participate in implementing and optimizing prompt engineering techniques.
- Work on advanced machine learning and deep learning models for various applications (e.g., anomaly detection, NLP, computer vision)
- Work on data science platforms and pipelines for large-scale data processing and model deployment.
- Assist in performing data analysis and applying statistical methods for decision-making and risk management
- Collaborate with cross-functional teams and stakeholders to translate business requirements into data science solutions.
Job Type: Full Time
Job Location: Anywhere in USA
Apply for this position
Full Name *
Email *
Phone *
Cover Letter *
Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
By using this form you agree with the storage and handling of your data by this website. *
Job Duties
- Assist in designing, developing, and evaluating Generative AI applications using Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems under supervision.
- Participate in implementing and optimizing prompt engineering techniques.
- Work on advanced machine learning and deep learning models for various applications (e.g., anomaly detection, NLP, computer vision)
- Work on data science platforms and pipelines for large-scale data processing and model deployment.
- Assist in performing data analysis and applying statistical methods for decision-making and risk management
- Collaborate with cross-functional teams and stakeholders to translate business requirements into data science solutions.
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