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Data Scientist (Machine Learning, NLP, Model Deployment)

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Seeking a Data Scientist to build predictive analytics, machine learning models, and NLP solutions. Key tasks include developing classification/regression models, deploying ML in production, and collaborating with cross-functional teams. Requires Python, Scikit-learn, TensorFlow/PyTorch, and statistical expertise.

Key Highlights
Develop machine learning models for predictive analytics
Deploy ML models into production environments
Collaborate with data engineers, product teams, and stakeholders
Key Responsibilities
Develop and implement machine learning models for predictive analytics
Perform exploratory data analysis and identify patterns in complex datasets
Deploy machine learning models into production environments
Collaborate with data engineers, product teams, and business stakeholders
Monitor model performance and implement improvements
Technical Skills Required
Python Machine Learning (Scikit-learn, TensorFlow/PyTorch) NLP and Text Analytics
Nice to Have
Experience with Generative AI and Large Language Models (LLMs)
Knowledge of RAG and vector databases
Experience with MLflow and model lifecycle management
Familiarity with AWS SageMaker or Azure Machine Learning
Knowledge of Apache Spark and distributed data processing
Understanding of MLOps and model monitoring

Job Description

We are seeking a skilled Data Scientist to develop advanced analytical models, machine learning solutions, and predictive algorithms to solve complex business problems. The ideal candidate should have strong expertise in Python, machine learning, statistical analysis, NLP, and model deployment.

Key Responsibilities

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