Search for part-time Senior Machine Learning Engineer roles in Baltimore, focusing on roles that require experience with Python and TensorFlow, and target positions with a salary range starting at $158,600.

Okay, I've searched for part-time Senior Machine Learning Engineer roles in Baltimore that require experience with Python and TensorFlow, with a salary expectation starting at $158,600. I found 25 positions for you. Would you like to explore these further?

Senior Machine Learning Engineer

Baltimore, MD

Part-time

Python

TensorFlow

$158600+

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior Machine Learning Engineer (MLE) role at Capital One is designed for an experienced individual capable of bridging the gap between advanced machine learning techniques and practical application in a banking context. This role focuses on productionizing machine learning applications, which requires a multifaceted skill set—from coding and model design to understanding data engineering and collaborating across multiple teams. The primary responsibilities encompass the design, building, and delivery of machine learning models that solve real-world business problems, emphasizing collaboration with product teams and data scientists. Success in this role is predicated on the engineer's ability to implement optimized data pipelines, ensure production health through model monitoring, and adapt efficiently to emerging technologies. Given Capital One's strong focus on innovation, candidates will likely face challenges related to adhering to best practices in responsible AI and addressing business-relevant issues in a fast-paced environment. Key thinking will involve not just technical execution, but also understanding the business impact of machine learning initiatives, making it imperative for the candidate to possess both a technical mindset and strategic vision.

Company Analysis:

Capital One positions itself as more than a traditional bank; it's committed to innovation, collaboration, and fostering financial freedom for both customers and associates. This mission brings about a culture that thrives on continuous improvement and forward-thinking strategies. As a company known for its progressive stance on technology and data-driven solutions, candidates for the Senior Machine Learning Engineer role can expect to work in an agile, dynamic environment where their contributions are valued. The culture leans towards being supportive and inclusive, suggesting that candidates who thrive will be those who are collaborative and agile in their thought processes. In terms of organizational structure, this role likely serves as a crucial connector across teams—drawing upon the collaboration with Data Science and Product teams—signifying its importance in driving Capital One’s objectives forward. Strategically, hiring for this MLE position demonstrates a push towards enhancing machine learning capabilities to support broader business goals, potentially indicating a focus on customer-centric solutions backed by advanced technology.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Can you describe a complex machine learning project you worked on and your specific role in it?
Tell me about a time when you faced a significant challenge in optimizing a model. How did you approach it?
Describe a situation where you had to collaborate with cross-functional teams to achieve a goal. What was your role?
How do you prioritize tasks when working on multiple machine learning projects simultaneously?
What is your experience with hyperparameter tuning, and how do you determine the best approach for it?
How would you approach building a data pipeline for a new machine learning model?
What techniques do you use to monitor the performance of ML models once they are deployed?
Imagine you're given a dataset that seems to have a lot of noise. How would you prepare it for modeling?
Why are you interested in the Senior Machine Learning Engineer role at Capital One specifically?
How do your personal values align with Capital One's commitment to diversity and inclusion in the workplace?
What steps would you take to ensure the machine learning models you build follow best practices in Responsible AI?
What do you see as the biggest challenge in productionizing machine learning solutions, and how would you address it?
How would you explain a complex machine learning concept to a non-technical stakeholder?

Job Details

Overview Company

Senior Machine Learning Engineer

$158.6k/y-$181k/y

Capital One

14 days ago

Highlight

OnsitePart-time4+ yearsSenior

Summary

Capital One is seeking a Senior Machine Learning Engineer to join their team in Baltimore, MD. The role involves productionizing machine learning applications and systems at scale, focusing on architectural design, model development, and ensuring high performance.

About the Role

As a Senior Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications. Responsibilities include designing, building, and delivering ML models, collaborating with Product and Data Science teams, solving complex problems, and leveraging cloud-based architectures. You will also construct optimized data pipelines, ensure successful deployment of ML models, and follow best practices in Responsible and Explainable AI.

About You

Required:

Bachelor’s degree
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience designing and building data-intensive solutions using distributed computing
At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
At least 1 year of experience productionizing, monitoring, and maintaining models

Preferred:

1+ years of experience building, scaling, and optimizing ML systems
1+ years of experience with data gathering and preparation for ML models
2+ years of experience developing performant, resilient, and maintainable code
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience with distributed file systems or multi-node database paradigms
Contributed to open source ML software
Authored/co-authored a paper on a ML technique, model, or proof of concept
3+ years of experience building production-ready data pipelines that feed ML models
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

Benefits

Performance based incentive compensation, which may include cash bonuses and/or long term incentives
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Capital One

At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.

Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/

Baltimore, MD