
Senior Machine Learning Engineer (Python, Spark, MLOPS)
Are you a seasoned Machine Learning Engineer with a passion for innovation and a strong background in Python, Spark, and MLOPS? Do you thrive in a fast-paced environment and enjoy solving complex problems? If so, we have an exciting opportunity for you at Capital One as a Senior Machine Learning Engineer. As a key member of our team, you will have the opportunity to work on cutting-edge projects and drive advancements in the field of machine learning. We are seeking a highly motivated and experienced individual who is ready to take on new challenges and make a significant impact. If this sounds like you, then we encourage you to apply and join our dynamic and collaborative team at Capital One.
- Develop and implement machine learning models and algorithms using Python, Spark, and MLOPS.
- Collaborate with cross-functional teams to understand business needs and identify opportunities for applying machine learning.
- Design and build scalable, efficient, and reliable machine learning pipelines.
- Stay up-to-date with the latest advancements in the field of machine learning and incorporate them into projects.
- Perform data exploration and analysis to identify patterns and insights.
- Ensure the quality, accuracy, and reliability of machine learning models through testing, validation, and monitoring.
- Optimize and tune machine learning models for performance and scalability.
- Communicate complex technical concepts to non-technical stakeholders.
- Mentor and guide junior members of the team.
- Proactively identify and troubleshoot issues and provide solutions.
- Keep track of project timelines and deliverables.
- Contribute to the development and maintenance of best practices and standards for machine learning.
- Participate in code reviews and provide constructive feedback.
- Collaborate with data engineers to ensure efficient data processing and storage.
- Demonstrate a strong understanding of machine learning concepts and techniques.
Strong Programming Skills: A Senior Machine Learning Engineer At Capital One Should Possess Advanced Programming Skills In Python, As Well As Experience With Spark For Distributed Computing.
Deep Understanding Of Machine Learning Techniques: Candidates Should Have A Deep Understanding Of Various Machine Learning Techniques And Algorithms, And Be Able To Apply Them To Solve Complex Business Problems.
Experience With Mlops: The Ideal Candidate Should Have Experience With Mlops (Machine Learning Operations) And Be Familiar With Tools And Frameworks For Managing And Deploying Machine Learning Models In Production.
Data Science And Analytics: In Addition To Machine Learning Expertise, Candidates Should Also Have A Strong Background In Data Science And Analytics, Including Experience With Data Preprocessing, Feature Engineering, And Data Visualization.
Leadership And Communication Skills: As A Senior Role, Candidates Should Have Experience Leading And Mentoring A Team Of Data Scientists And Engineers. Strong Communication Skills Are Also Essential For Translating Complex Technical Concepts To Non-Technical Stakeholders.
statistical analysis
Deep Learning
Cloud Computing
Natural language processing
Predictive modeling
Data wrangling
feature engineering
Python proficiency
Model Deployment
Spark Expertise
Mlops Knowledge
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Machine Learning Engineer (Python, Spark, MLOPS) in McLean, VA, USA is between $140,000 and $180,000. This can vary depending on the specific company, experience level, and other factors such as benefits and bonuses.
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Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia. Capital One is ranked 11th on the list of largest banks in the United States by assets.

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