Lead Data Engineer (Data Scientist)

Requirements

• Strong proficiency in Python and SQL.
• Experience with machine learning libraries such as Scikit learn, TensorFlow, PyTorch, XGBoost, and Pandas.
• Expertise in statistical modeling, hypothesis testing, and predictive analytics.
• Experience with data wrangling, feature engineering, and exploratory data analysis.
• Knowledge of machine learning algorithms including Regression, Classification, Clustering, Time Series Forecasting, and NLP.
• Experience working with large datasets and cloud based data platforms.
• Strong understanding of data structures, algorithms, and model lifecycle management.
• Experience creating data visualizations using Power BI, Tableau, or Matplotlib.
• Preferred: Experience with Generative AI, LLMs, NLP, and RAG architectures.
• Preferred: Knowledge of MLOps, model deployment, and monitoring tools.
• Preferred: Experience with cloud platforms such as AWS, Azure, or GCP.
• Preferred: Knowledge of Spark, Databricks, Snowflake, or other big data technologies.
• Preferred: Familiarity with Docker, Git, and CI/CD pipelines.

How to apply

• Send your resume by email.

Location

• SAN JOSE, CA