Data Scientist - Machine Learning Models

Job Description : - Design, develop, and deploy machine learning models using Python and other data science tools to derive actionable insights. - Work with MongoDB for managing and analyzing large datasets, ensuring effective storage and retrieval of data. - Collaborate with engineering and product teams to integrate machine learning models into production systems and provide data-driven solutions. - Leverage Azure cloud services (e.g., Azure Machine Learning, Azure Databricks) to scale and optimize machine learning workflows and data pipelines. - Implement data preprocessing and feature engineering techniques to enhance model performance. - Analyze and visualize large and complex datasets to generate insights and make recommendations for business strategy. - Optimize and fine-tune existing machine learning models for better performance and accuracy. - Build and maintain robust data pipelines, working with structured and unstructured data. - Ensure the quality, consistency, and accuracy of data used for model building and analysis. - Stay updated with the latest trends in data science, machine learning, and AI technologies. - Communicate results and insights effectively to non-technical stakeholders through data visualizations and reports. - Data Scientist, with a strong track record of deploying machine learning models into production. - Strong programming skills in Python, with experience in libraries like Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch. - Hands-on experience with MongoDB for managing large datasets and performing analytics. - Proficiency in working with Azure cloud services, especially Azure Machine Learning, Azure Databricks, and Azure SQL. - Strong understanding of statistical methods, data modeling, and machine learning algorithms (e.g., classification, regression, clustering, deep learning). - Experience with data wrangling, feature engineering, and building robust data pipelines. - Familiarity with data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment. - Strong communication skills, with the ability to present complex data science concepts to non-technical stakeholders. - Experience in deploying machine learning models using cloud-based platforms such as Azure Machine Learning Service or Azure Kubernetes Service. - Familiarity with Big Data technologies such as Hadoop or Spark. - Knowledge of advanced AI topics like natural language processing (NLP) or computer vision. - Experience with containerization technologies like Docker and orchestrating ML workflows with Kubernetes. - Strong knowledge of SQL and data querying languages. - Experience with Agile methodologies and working in collaborative team environments. (ref:hirist.tech)

Location: mohali, IN

Posted Date: 12/22/2024