Data Science Associate

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.

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: Machin Learning, Deep Learning Modules, Large Language Models (LLM) and Generative AI (GenAI). Experience with GenerativeAI LLM and Machine Learning

Background Check :Yes

Notes :

Selling points for candidate :Experience with GenerativeAI LLM and Machine Learning

Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Not Provide"

Candidate must be your W2 Employee :Yes

Exclusive to Apex :Yes

Face to face interview required :No

Candidate must be local :Yes

Candidate must be authorized to work without sponsorship ::No

Interview times set :Yes

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