Project Role : Data Science Practitioner
Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Must have skills : Microsoft Azure Machine Learning
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years of Education and necessary degree in engineering

Summary: As a Data Science Practitioner, you will be responsible for formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. Your typical day will involve working with Microsoft Azure Machine Learning, measuring and justifying AI/ML-based solution values, and collaborating with cross-functional teams to deliver impactful data-driven solutions. Roles & Responsibilities: - Lead the development and deployment of AI/ML-based decision-making frameworks and models using Microsoft Azure Machine Learning. - Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms. - Collaborate with cross-functional teams, applying expertise in diverse machine learning algorithms, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Stay updated with the latest advancements in AI/ML and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Machine Learning. - Good To Have Skills: Experience with TensorFlow, Natural Language Processing (NLP), and Big Data technologies. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Microsoft Azure Machine Learning. - The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Bengaluru office.