Data Scientist
- Corpus Christi
- |Full Time
Posted: 2 weeks ago• Recruiter recently active
Job Location
Corpus Christi
Remote Work Policy
In office
Visa Sponsorship
Not Available
RelocationAllowed
Skills
Python
Machine Learning
SQL
Statistical Modeling
Numpy
Pandas
scikit-learn
Deep Learning
Data manipulation
TensorFlow
NLP
PyTorch
Prompt Engineering
Generative AI
Vector Databases
Large Language Models (LLMs)
RAG
Embeddings
LLM Evaluation
AI/ML Solutions
Modern Data Technologies
Cloud-Based AI/ML Platforms
Transformer-Based
Structured and Unstructured Datasets
About the job
Key Responsibilities
- Develop, train, evaluate, and deploy machine learning and AI models to solve complex business problems.
- Design and implement Generative AI and LLM-based solutions for enterprise use cases.
- Work with structured and unstructured data to identify patterns, trends, and actionable insights.
- Develop NLP solutions using modern transformer-based and LLM technologies.
- Build and optimize prompts, embeddings, retrieval pipelines, and RAG (Retrieval-Augmented Generation) solutions.
- Evaluate LLM outputs for accuracy, relevance, reliability, and performance.
- Perform exploratory data analysis, feature engineering, model development, and statistical analysis.
- Collaborate with data engineers, software engineers, product teams, and business stakeholders to take AI solutions from concept through production.
- Develop model evaluation frameworks and monitor model performance in production.
- Apply appropriate machine learning, deep learning, and statistical techniques to business problems.
- Work with cloud-based AI/ML platforms and modern data technologies.
- Document models, methodologies, experiments, results, and technical recommendations.
- Stay current with emerging developments in Generative AI, LLMs, NLP, and machine learning and evaluate their applicability to enterprise solutions.
Required Skills
- Strong experience as a Data Scientist / Machine Learning Engineer / AI Engineer.
- Strong hands-on experience with Python and common data science/ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Strong understanding of Machine Learning, Deep Learning, NLP, and statistical modeling.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation.
- Experience working with structured and unstructured datasets.
- Strong SQL and data manipulation skills.
- Experience developing and deploying production-grade AI/ML solutions.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
About the company
Learn more about Dminds Solutions 
