Padmi

Data Scientist

BangalorePosted 5 months ago
Data Science And StatisticsMid-levelFull Time, Permanent
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We are looking for a Data Scientist with strong expertise in Machine Learning and Artificial Intelligence to design, develop, and deploy scalable data-driven solutions. The ideal candidate should have hands-on experience in building predictive models, analyzing large datasets, and applying AI/ML techniques to solve complex business problems. Key Responsibilities Develop and implement machine learning models and AI solutions for business problems. Perform data cleaning, feature engineering, and exploratory data analysis (EDA) on large structured and unstructured datasets. Build predictive models using techniques such as regression, classification, clustering, NLP, and deep learning. Deploy models into production using MLOps best practices. Collaborate with data engineers, product managers, and business stakeholders to translate requirements into technical solutions. Monitor model performance and continuously optimize and retrain models. Work with cloud platforms and big data tools for scalable data processing. Present insights and recommendations using data visualization and storytelling techniques. Required Skills Programming Python R SQL Machine Learning Supervised Unsupervised Learning Feature Engineering Model Evaluation Techniques Model Optimization AI Advanced Techniques NLP Deep Learning (TensorFlow PyTorch) Generative AI (LLMs, Prompt Engineering preferred) Data Tools Pandas, NumPy, Scikit-learn Spark PySpark (preferred) Visualization Power BI Tableau Matplotlib Seaborn Cloud Platforms AWS Azure GCP (any one preferred) Qualifications Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related field 2 to 5 years of hands-on experience in Machine Learning and AI projects Experience working with large datasets and real-world business problems Preferred Qualifications Experience with MLOps and model deployment Knowledge of Docker, Kubernetes Experience with LLMs, Generative AI, or AI agents Strong understanding of statistics and probability Soft Skills Strong problem-solving skills Excellent communication and stakeholder management Ability to work in a fast-paced Agile environment

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