Project Role : Software Development Engineer
Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.
Must have skills : Google Cloud Machine Learning Services
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : BE

Summary: As a Software Development Engineer, you will be responsible for analyzing, designing, coding, and testing multiple components of application code using Google Cloud Machine Learning Services. Your typical day will involve working with cross-functional teams, performing maintenance, enhancements, and development work to deliver impactful data-driven solutions. Roles & Responsibilities: - Lead the development and deployment of advanced machine learning models using Google Cloud Machine Learning Services. - 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 machine learning and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Machine Learning Services. - 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 7.5 years of experience in Google Cloud Machine Learning Services. - 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.