Required Skills
Manager Notes: Our team is experimenting with GenerativeAI (LLMS) to innovate and improve upon traditional AI/ML techniques, such as LLM Based Classification, LLM Based Natural Language Processing, using emerging technology such as GraphRAG, deriving insights from gigabytes of data, etc. We are looking for resources who want to be a part of these PoC processes. Looking for associate level candidates: 1-3 years of experience (we are not looking for candidates with 5+ years of experience) Need to have solid Python programming and some SQL experience including common data science libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas Ideal candidates will have GitHub or similar code repository to share pre-interview. Key areas in Data Science we are seeking: Machine Learning, Deep Learning Modules, Large Language Models (LLM) and Generative AI (GenAI).
Additional Skills
On-site in Pittsburgh, PA 3 days is REQUIRED
Job Description
Manager Notes:
Our team is experimenting with GenerativeAI (LLMS) to innovate and improve upon traditional AI/ML techniques, such as LLM Based Classification, LLM Based Natural Language Processing, using emerging technology such as GraphRAG, deriving insights from gigabytes of data, etc. We are looking for resources who want to be a part of these PoC processes.
Looking for associate level candidates: 1-3 years of experience (we are not looking for candidates with 5+ years of experience)
Need to have solid Python programming and some SQL experience including common data science libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas
Ideal candidates will have GitHub or similar code repository to share pre-interview.
Key areas in Data Science we are seeking: Machin Learning, Deep Learning Modules, Large Language Models (LLM) and Generative AI (GenAI).
Data Science Associate
Our client is looking for a data science associate who is passionate about working with large language models and machine learning, and who can help build robust and scalable pipelines for automated processes. You will be part of a dynamic and innovative team that leverages cutting-edge technologies to deliver high-quality solutions for engineering and internal stakeholders.
Responsibilities
Develop, train, and deploy large language models and machine learning algorithms for various natural language processing tasks.
Build and maintain pipelines for data ingestion, processing, analysis, and visualization.
Perform data quality checks, data cleansing, and data wrangling.
Optimize and troubleshoot the performance and scalability of the models and pipelines.
Collaborate with other data scientists, engineers, and stakeholders to understand the business requirements and deliver the best solutions.
Qualifications
Bachelor's degree or higher in computer science, data science, analytics, statistics, or related field. (Or equivalent experience)
Strong knowledge of the fundamentals of machine learning, natural language processing, and statistics.
Proficient in Python and common data science libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas
Excellent communication and teamwork skills.
Willingness to learn and explore new technologies and methodologies.
Desired :
Experience in building and deploying pipelines for data science and machine learning projects.
At least one year of professional experience in data science, machine learning, analytics, or natural language processing.
Experience in working with large language models such as mistral, mixtral, gpt, etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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• Dice Id: 10300977
• Position Id: 8374285
Location: Philadelphia, PA
Posted: Aug. 14, 2024, 2:42 a.m.
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