Data Scientist

Quantum Technologies. LLC; Fort Worth (TX); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Quantum Technologies LLC in the United States seeks a highly skilled ML engineer to design and optimize large language model applications. You will develop advanced optimization algorithms, implement data pipelines, and collaborate with cross-functional teams to deliver AI-enabled solutions.

The role requires strong proficiency in Python, R, SQL, Java, and experience with vector databases, embeddings, model fine-tuning, and GPU acceleration.

Formación

• Minimum 6 years of experience with building optimization algorithms.
• Advanced proficiency in Python, R, SQL, and Java.
• Expertise in data visualization to communicate insights clearly.
• In-depth experience with data science cloud platforms and integration.
• Strong communication to articulate technical concepts clearly.
• Expertise in statistical analysis and advanced ML techniques.
• Proficiency in core architecture of LLMs (transformers, attention).
• Experience with prompt engineering including chain-of-thought prompting, RAG, fine-tuning and evaluation.
• Experience with Vector Databases and embeddings.
• Experience with Model Fine-tuning and GPU optimization.

Conocimientos

Optimization algorithms

Python/R/SQL/Java

Data visualization

Cloud data platforms

LLMs architecture

Prompt engineering

Vector databases

Model fine-tuning

GPU optimization

Communication skills

Statistics & ML

Educación

Bachelor’s degree or higher

Ph.D. a plus

Descripción del empleo

Healthcare,Pharmaceuticals,Manufacturing,Insurance,Retail,Government,Education,IT/Software

Work Authorization:

Minimum 6 years of experience with building optimization algorithms or relevant experience.

Advanced proficiency in programming languages such as Python, R, SQL, and Java.

Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively.

In-depth experience with data science cloud platforms and their integration into business solutions.

Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment.

Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.

Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism.

Deep understanding and application of statistical analysis and advanced machine learning techniques.

Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms)

Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies.

Experience with Vector Databases and embeddings.

Experience with Model Fine-tuning.

Experience with GPU optimization.

Preferred Qualifications

Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus.

Knowledge of geospatial analytics, route optimization, and GIS concepts.

Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions.

Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector.

Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives.

Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level.

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.