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Data Scientist

Dminds Solutions Inc.Corpus Christi, TX🇺🇸United States

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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