Lead Software Engineer

Capital One

8 - 13 years

4 - 8 Lacs

bengaluru karnataka india

Posted:6 hours ago| Platform: Foundit logo

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Skills Required

ci/cd

Work Mode

On-site

Job Type

Full Time

Job Description

As a Capital One Machine Learning Engineer, youll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale
You ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms
Working within an Agile environment, you ll serve as a technical lead, helping guide machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications
Youll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering
You ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology
What you ll do in the role: Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Construct optimized data pipelines to feed MLmodels
Use programming languages like Python, Scala, or Java
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Advocate for software and machine learning engineering best practices
Function as the engineering tech lead for large-scale initiatives
Recruit and mentor junior engineering talent
Basic Qualifications Bachelor s degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience with the full ML development lifecycle using modern technology in a business critical setting
At least 2 years of experience leading teams developing ML solutions
Preferred Qualifications Masters or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
At least 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
At least 3 years of experience developing performant, resilient, and maintainable code
At least 3 years of experience with data gathering and preparation for ML models
At least 3 years of people management experience
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
At least 3 years of experience building production-ready data pipelines that feed ML models
Ability to communicate complex technical concepts clearly to a variety of audiences
At this time, Capital One will not sponsor a new applicant for employment authorization for this position

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