Data Scientist with Machine Learning Engineer

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Key Responsibilities

• Explore, clean, and analyze structured and unstructured datasets.
• Apply statistical techniques to generate insights and support business decisions.
• Develop predictive models using regression, classification, clustering, NLP, or time‑series methods.
• Conduct hypothesis testing, A/B experiments, and exploratory data analysis (EDA).

Machine Learning Engineering

• Build, train, and fine‑tune ML models using frameworks such as TensorFlow, PyTorch, Scikit‑learn.
• Develop and maintain end‑to‑end ML pipelines, including feature engineering, model training, evaluation, and versioning.
• Deploy ML models into production using MLOps pipelines and tools like MLflow, Kubeflow, SageMaker, or Vertex AI.
• Implement monitoring, retraining strategies, and improve model pe...