LTIMindtree-posted about 1 month ago
Full-time • Mid Level
Tampa, FL
Professional, Scientific, and Technical Services

We are seeking a highly motivated and skilled Data Scientist to join our growing team The ideal candidate will have a strong foundation in machine learning natural language processing NLP and data engineering with the ability to build scalable AIML solutions for complex business problems You will work on diverse projects including anomaly detection in financial datasets and building GenAIpowered conversational systems

  • Design develop and deploy machine learning models for structured and unstructured data
  • Build and finetune NLP pipelines for document understanding and conversational AI
  • Perform anomaly detection and pattern recognition in largescale financial datasets
  • Collaborate with crossfunctional teams including product managers domain experts and engineers
  • Translate business requirements into data science solutions and present findings to stakeholders
  • Ensure model interpretability performance monitoring and continuous improvement
  • Stay updated with the latest advancements in AIML and GenAI technologies such as Agentic AI
  • Proficiency in Python and libraries such as pandas scikitlearn NumPy PyTorchTensorFlow
  • Strong understanding of machine learning algorithms especially for classification regression and clustering
  • Experience with Natural Language Processing NLP transformers embeddings text classification summarization
  • Familiarity with LLMs Large Language Models and frameworks like LangChain Hugging Face Transformers OpenAI APIs
  • Knowledge of vector databases eg FAISS Pinecone Weaviate and retrievalaugmented generation RAG
  • Experience with data preprocessing exploratory data analysis feature engineering and model evaluation techniques
  • Handson experience with SQL and working with large datasets
  • Exposure to Devin tool for coding tasks
  • Experience with cloud platforms AWS Azure GCP and MLOps tools MLflow DVC Airflow
  • Familiarity with financial data and regulatory reporting eg FRB filings 14Q 9C
  • Exposure to Docker Kubernetes and API development for model deployment
  • Experience with timeseries analysis and graphbased models
  • Understanding of data privacy model fairness and explainability
  • Contributions to opensource projects or published research papers
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