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 : Machine Learning
Good to have skills : AWS Kinesis, AWS Glue, Amazon SageMaker
Minimum 7.5 year(s) of experience is required
Educational Qualification : Should be a graduate Should be AWS certified Data Analyst AWS Certified Data Engineer Associate Certification

Summary: As a Software Development Engineer with expertise in Machine Learning, you will be responsible for analyzing, designing, coding, and testing multiple components of application code across one or more clients. Your typical day will involve working with AWS Kinesis, AWS Glue, Amazon SageMaker, and other machine learning tools to develop and deploy advanced machine learning models. Roles & Responsibilities: - Lead the development and deployment of advanced machine learning models using AWS Kinesis, AWS Glue, Amazon SageMaker, and other machine learning tools. -Help our customers to remove the constraints that prevent them from leveraging their data to develop business insights - 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 like Tableau or Power BI 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: Expertise in Machine Learning ,AWS Kinesis, AWS Glue, Amazon SageMaker. - Good To Have Skills: Amazon Redshift, Amazon EMR, - 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 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.