We are looking for a talented Data Scientist with Python and AI/ML expertise to build predictive models, deploy machine learning solutions, and deliver advanced analytics across enterprise platforms. The role focuses on transforming data into actionable business insights using modern AI techniques.
Key Responsibilities
Develop and deploy machine learning models using Python.
Perform data exploration, feature engineering, and model evaluation.
Build AI/ML solutions for prediction, classification, NLP, and recommendation systems.
Work with large datasets using SQL, Pandas, NumPy, Spark.
Implement deep learning models using TensorFlow / PyTorch.
Develop NLP pipelines using spaCy, NLTK, HuggingFace.
Collaborate with product and engineering teams to operationalize models (MLOps).
Monitor model performance and retrain as required.
Create dashboards and presentations for stakeholders.
Support experimentation and A/B testing frameworks.
Required Skills
Strong proficiency in Python for data science and ML.
Experience with Scikit-learn, TensorFlow, PyTorch.
Strong knowledge of statistics, probability, and linear algebra.
Experience with SQL and big data tools (Spark, Hadoop).
Hands-on experience with NLP, computer vision, or recommendation systems.
Knowledge of MLOps, CI/CD for ML models.
Experience deploying models in cloud environments (AWS/Azure/GCP).