Data Scientist

MACHINE LEARNING TECHNOLOGIES LLC; Raleigh (NC); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Promotional track

Large enterprise experience

Advanced degrees

Job summary

Machine Learning Technologies LLC in Raleigh, NC seeks a Data Scientist to join a multi-domain client team on a 20-month+ extension project. You will leverage LLMs and RAG techniques to build data-driven solutions, collaborate with software engineers, and maintain production systems.

The ideal candidate has 3+ years of data science experience, strong Python skills, and proven ability to mentor teammates while delivering scalable ML solutions across manufacturing, finance, government, and telecom

Qualifications

• 3+ years of data scientist experience with LLM tools, RAG implementations/evaluations, etc.
• Strong Python programming skills.
• Experience/exposure maintaining production support alongside a team of Software Engineers.

Responsibilities

• Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
• Experience with LLMs and Transformer architectures (e.g., BERT, RoBERTa, T5).
• Experience applying LLMs (ChatGPT, GPT-3.5, Claude, Mistral, etc.).
• Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).
• Proficiency in Python or another programming language.
• Mentoring, training, and acting as a subject matter expert to guide colleagues.

Skills

LLMs

RAG

ML/AI engineering

Python

Communication

Tools

Hadoop

Spark

Job description

Job Details

• Job ID: J53087
• Job Title: Data Scientist
• Location: Raleigh, NC
• Duration: 20 Months + Extension
• Domain Exposure: Manufacturing,Banking & Finance,Government,Telecom,Oil & Gas,IT/Software
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Important Skills

• Technical – LLMs, RAG, ML/AI engineering
• Soft—good communication/very collaborative

Must Haves

• 3+ years of data scientist experience (working with different LLM tools, RAG implementations/evaluations, etc)
• Strong Python programming skills
• Experience/exposure maintaining production support alongside a team of Software Engineers

Plusses

• Strong promotional track/tenure in experience
• Large enterprise experience
• Strong education/multiple degrees

Client Day to Day

As a Senior Data Scientist llI, you will leverage your advanced analytical skills to extract insights from complex datasets. Your expertise will drive data-driven decision-making and contribute to the development of innovative solutions. You will collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis.

Responsibilities

• Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
• Possess knowledge and skills in a senior data scientist position
• Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
• Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
• Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
• Experience with coding skills in Python or another programming language
• Be experienced in mentoring, training, and acting as a subject matter expert to guide colleagues.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.