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HomeCompaniesCapital OneSenior Lead Machine Learning Engineer
CO
CAPITAL ONEACTIVELY HIRING

Senior Lead Machine Learning Engineer

All India
Not Disclosed
5 to 9 Yrs
Full time
3/26/2026
Salary Range
Not Disclosed
Experience
5 to 9 Yrs
Job Location
All India
Remote Work Policy
Not specified
Visa Sponsorship
Not specified
Relocation
Not specified
Skills
Machine LearningAlgorithmsLeadershipTeam ManagementData PreparationPerformance MonitoringRecruitingHiringComplianceMentoringDatadriven SolutionsResearchAnalysisData PipelinesModel TrainingFeature EngineeringProcess Improvements
Industry
BFSI
Hiring Status
ACTIVELY HIRING
Hiring Contact
CO
Capital One
Recruiter

Job Description

Role Overview

** You will be responsible for developing and implementing advanced machine learning algorithms to address complex business challenges. Additionally, you will lead and mentor a team of machine learning engineers, collaborate with cross-functional teams, conduct research to identify suitable techniques, and design data pipelines and infrastructure to support machine learning models. **

Key Responsibilities

** - Develop and implement cutting-edge machine learning algorithms to solve complex business problems. - Lead and mentor a team of machine learning engineers, providing guidance and support for high-quality deliverables. - Collaborate with cross-functional teams to identify business needs and define project goals and requirements. - Conduct research and analysis to identify suitable machine learning techniques and algorithms. - Design and implement data pipelines and infrastructure to support machine learning model development. - Utilize best practices for data preparation, feature engineering, model training, and testing. - Monitor and evaluate machine learning model performance, making necessary adjustments for improvement. - Stay updated with the latest advancements in machine learning and implement them in projects. - Communicate technical concepts to non-technical stakeholders and provide insights for business decisions. - Collaborate with senior leaders to define and implement the organization's machine learning strategy. - Identify and implement process improvements to enhance the efficiency of machine learning projects. - Participate in recruiting and hiring efforts to build a high-performing machine learning team. - Act as a subject matter expert, providing guidance on machine learning concepts and best practices. - Ensure compliance with data privacy and security regulations throughout the project lifecycle. - Mentor and coach team members to support their skill growth and career advancement. If you possess a strong background in machine learning, a track record of delivering impactful projects, and a desire to lead and mentor a team, Capital One welcomes your application. Please note that Capital One is an Equal Opportunity Employer, committed to fostering diversity and creating an inclusive environment for all employees. As a seasoned machine learning engineer, you have the opportunity to join Capital One as a Senior Lead Machine Learning Engineer. In this role, you will work on developing cutting-edge algorithms and driving business impact through data-driven solutions. Capital One, a leader in the financial industry, is seeking a highly skilled individual to contribute to innovation and technology in the field of machine learning. **

Role Overview

** You will be responsible for developing and implementing advanced machine learning algorithms to address complex business challenges. Additionally, you will lead and mentor a team of machine learning engineers, collaborate with cross-functional teams, conduct research to identify suitable techniques, and design data pipelines and infrastructure to support machine learning models. **

Key Responsibilities

** - Develop and implement cutting-edge machine learning algorithms to solve complex business problems. - Lead and mentor a team of machine learning engineers, providing guidance and support for high-quality deliverables. - Collaborate with cross-functional teams to identify business needs and define project goals and requirements. - Conduct research and analysis to identify suitable machine learning techniques and algorithms. - Design and implement data pipelines and infrastructure to support machine learning model development. - Utilize best practices for data preparation, feature engineering, model training, and testing. - Monitor and evaluate machine learning model performance, making necessary adjustments for improvement. - Stay updated with the latest advancements in machine learning and implement them in projects. - Communicate technical concepts to non-technical stakeholders and provide insights for business decisions. - Collaborate with senior leaders to define and implement the organization's machine learning strategy. - Identify and implement process improvements to enhance the efficiency of machine learning projects. - Participate in recruiting and hiring efforts to build a high-performing machine learning team. - Act as a subject matter expert, providing guidance on machine learning concepts and best practices. - Ensure compliance with data privacy and security regulations throughout the project lifecycl