Quick overview
SeniorityMid Senior
Work modeHybrid
LocationCorpus Christi, TX, United States
SQLMachine LearningNLPNumPyScikit-learnDeep LearningGenerative AILLMPandasPyTorchPythonTensorFlow
Job description
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.
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