המקום בו המומחים והחברות הטובות ביותר נפגשים
Capital One Manager Machine Learning Engineer - People Leader India, Karnataka, Bengaluru 432054071
As a Capital One Machine Learning Engineer, you'll 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. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning e
We’re looking for a
Manager - Machine Learning Engineer
At DataLabs, you will work in a fast paced and intellectually rigorous environment. You will apply strategic analytical and product leadership skills to major business challenges. You will have the opportunity to learn and build deep expertise in the core areas of advanced analytics, industrial- scale product design, development and deployment, data science and machine learning. And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation.
DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives.
What You’ll Do
Work with model and platform teams to build systems that ingest large amounts of model and feature metadata that will feed into automated monitoring
Partner with product and design teams to build elegant and scalable solutions to speed up governance and monitoring processes
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
Use programming languages like Python, Scala, or Java
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code
Advocate for software and machine learning engineering best practices
Function as a technical lead
As a people leader, you will be responsible for mentoring, coaching, providing feedback, building career plans and assessing performance for your direct reports enabling a high performance engineering team
Basic Qualifications
Bachelor’s Degree
At least 6 years of experience designing and building data intensive solutions using distributed computing
At least 4 years of experience programming with Python, Go, or Java
At least 2 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience with the full ML Development Lifecycle using industry-recognized best practices
At least 2 years of people leader experience
Preferred Qualifications
Master’s Degree or PhD in Computer Science, Electrical Engineering, Mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
1+ years of experience leading teams developing ML solutions using industry best
practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Contributed to open source ML software
Authored/co-authored a paper on a ML technique, model, or proof of concept
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
משרות נוספות שיכולות לעניין אותך
