Technical Lead - Traditional ML
Washington, Utah, United States of America
Contract
3 weeks ago
Key skills
PythonAIMachine LearningMLDeep LearningNLPLangChainPyTorchTensorFlowPandasNumPyXGBoostLightGBMLangGraphAnalyticsSparkApache SparkKafkaStatistical Analysis
About this role
Technical Lead - Traditional ML
Washington DC, Onsite
Skills: Python AI, Langchain , Langgraph
Skill Requirements
1. Solid Proficiency In Machine Learning And Nlp, Including Supervised And Unsupervised Learning, Deep Learning, And Reinforcement Learning.
2. Solid Experience With Python, Numpy, Pandas, Scikitlearn, Tensorflow, Pytorch, Xgboost, And Lightgbm For Model Development And Evaluation.
3. Solid Understanding Of Time Series Analysis And Forecasting Methodologies.
4. Solid Skills In Apache Spark And Kafka For Distributed Data Processing And Streaming Analytics.
5. Solid Knowledge Of Ml Model Evaluation Metrics And Techniques, Including Crossvalidation And Statistical Analysis.
6. Solid Ability To Apply Nlp Frameworks Such As Nltk And Spacy For Text Data Processing.
1. Solid Proficiency In Machine Learning And Nlp, Including Supervised And Unsupervised Learning, Deep Learning, And Reinforcement Learning.
2. Solid Experience With Python, Numpy, Pandas, Scikitlearn, Tensorflow, Pytorch, Xgboost, And Lightgbm For Model Development And Evaluation.
3. Solid Understanding Of Time Series Analysis And Forecasting Methodologies.
4. Solid Skills In Apache Spark And Kafka For Distributed Data Processing And Streaming Analytics.
5. Solid Knowledge Of Ml Model Evaluation Metrics And Techniques, Including Crossvalidation And Statistical Analysis.
6. Solid Ability To Apply Nlp Frameworks Such As Nltk And Spacy For Text Data Processing.