

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist specializing in Generative AI, based in Dallas, TX, for an 18+ month contract at a pay rate of "unknown." Key skills include Python, MongoDB, Databricks, LLM expertise, and advanced NLP techniques.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 18, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
1099 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Dallas, TX
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π§ - Skills detailed
#Scala #MongoDB #Data Manipulation #Regression #NoSQL #AI (Artificial Intelligence) #ML (Machine Learning) #Clustering #Model Evaluation #Model Deployment #Classification #Databases #Data Science #"ETL (Extract #Transform #Load)" #Monitoring #Predictive Modeling #Data Processing #BI (Business Intelligence) #Python #Databricks #NLP (Natural Language Processing) #Deployment
Role description
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Data Scientist / Gen AI
Location: Dallas, TX (Fully Onsite from Day 1)
Duration: 18+ Months
Are you a highly skilled Data Scientist with deep expertise in Generative AI and Large Language Models (LLMs)? Sesheng Company is seeking a talented individual to join our team in Dallas for an exciting 18+ month contract. If you're passionate about leveraging cutting-edge AI to solve complex business problems and drive innovation, we encourage you to apply!
Key Responsibilities
As a Data Scientist / Generative AI, you will be pivotal in designing, developing, and implementing advanced AI solutions. Your role will involve:
β’ Designing, developing, and implementing machine learning models and AI solutions to meet specific business needs.
β’ Working extensively with Large Language Models (LLMs), including fine-tuning and evaluating their performance.
β’ Developing Generative AI models and AI-driven agents to automate tasks and significantly enhance business intelligence.
β’ Implementing sophisticated Natural Language Processing (NLP) techniques to analyze and extract crucial insights from textual data.
β’ Performing both supervised and unsupervised machine learning tasks to solve challenging predictive modeling and classification problems.
β’ Building and maintaining scalable solutions using robust technologies such as Python, MongoDB, and Databricks.
β’ Evaluating and thoroughly testing LLMs, applying insights to continuously improve their performance and effectiveness.
β’ Collaborating closely with cross-functional teams to understand diverse data challenges and develop actionable AI solutions.
β’ Driving end-to-end machine learning workflows, from initial data preprocessing to model deployment and ongoing monitoring.
Required Skills and Experience
We are looking for a candidate with a strong foundation and practical experience in:
β’ Extensive experience with Python for data manipulation, statistical modeling, and algorithm development.
β’ Expertise in working with MongoDB and other NoSQL databases.
β’ Proficiency with Databricks for efficient data processing and robust model development.
β’ In-depth knowledge of Generative AI principles and advanced NLP techniques.
β’ Significant experience in Large Language Model (LLM) tuning (OpenAI preferred) and their application in real-world use cases.
β’ Proven experience in developing AI agents for automating decision-making processes or enhancing customer-facing interactions.
β’ Solid understanding of both supervised and unsupervised machine learning techniques (e.g., classification, clustering, regression).
β’ Strong analytical and problem-solving abilities, coupled with a passion for transforming data into actionable insights.
β’ Experience in model evaluation, validation, and performance metrics, particularly relevant for LLMs.
β’ The ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Sesheng Company is an equal opportunity employer and values diversity. All employment decisions are based on qualifications, merit, and business need. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.