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Application Lead
Bengaluru
Job No. atci-4358627-s1770912
Full-time
Job Description
Project Role : Application Lead
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Machine Learning
Good to have skills : Amazon SageMaker, Machine Learning Operations, AWS Glue
Minimum 5 year(s) of experience is required
Educational Qualification : Should be a graduate
Summary: As an Application Lead for Machine Learning, you will be responsible for leading the effort to design, build, and configure applications. You will act as the primary point of contact and work with Amazon SageMaker, Machine Learning Operations, and AWS Glue. Your typical day will involve utilizing your expertise in Machine Learning to develop and deploy advanced models, collaborating with cross-functional teams, and staying updated with the latest advancements in the field. Roles & Responsibilities: - Lead the development and deployment of advanced Machine Learning models using Amazon SageMaker, Machine Learning Operations, and AWS Glue. -Create MLOPs strategy and develop and implement SageMaker models. Provide scalable, secure and optimized model for this use case. - Collaborate with cross-functional teams to design, build, and configure applications. - Act as the primary point of contact for the project, ensuring timely delivery of high-quality solutions. - Stay updated with the latest advancements in Machine Learning and apply innovative approaches for sustained competitive advantage. - Utilize your expertise in Machine Learning to provide technical guidance and mentorship to team members. Professional & Technical Skills: - Must To Have Skills: Expertise in Machine Learning. - Good To Have Skills: Amazon SageMaker, Machine Learning Operations, and AWS Glue. - 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 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.
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Machine Learning
Good to have skills : Amazon SageMaker, Machine Learning Operations, AWS Glue
Minimum 5 year(s) of experience is required
Educational Qualification : Should be a graduate
Summary: As an Application Lead for Machine Learning, you will be responsible for leading the effort to design, build, and configure applications. You will act as the primary point of contact and work with Amazon SageMaker, Machine Learning Operations, and AWS Glue. Your typical day will involve utilizing your expertise in Machine Learning to develop and deploy advanced models, collaborating with cross-functional teams, and staying updated with the latest advancements in the field. Roles & Responsibilities: - Lead the development and deployment of advanced Machine Learning models using Amazon SageMaker, Machine Learning Operations, and AWS Glue. -Create MLOPs strategy and develop and implement SageMaker models. Provide scalable, secure and optimized model for this use case. - Collaborate with cross-functional teams to design, build, and configure applications. - Act as the primary point of contact for the project, ensuring timely delivery of high-quality solutions. - Stay updated with the latest advancements in Machine Learning and apply innovative approaches for sustained competitive advantage. - Utilize your expertise in Machine Learning to provide technical guidance and mentorship to team members. Professional & Technical Skills: - Must To Have Skills: Expertise in Machine Learning. - Good To Have Skills: Amazon SageMaker, Machine Learning Operations, and AWS Glue. - 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 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.
Qualifications
Should be a graduate
Please be informed that at any given point in time, you can only have one "Active" application.
Please be informed that at any given point in time, you can only have one "Active" application.