Director, Data & Analytics Engineering
About The Position
Morgan Stanley Services Group, Inc. is seeking a Director, Data & Analytics Engineering in Alpharetta, GA to design and deploy machine learning (ML) models for data-driven decisions. Implement distributed training systems to accelerate model training. Analyze data from past events to create labeled training data, extract data trends, and develop new features. Build APIs to serve real-time predictions with scalable infrastructure. Automate the process to integrate new code changes, test changes, and deploy in production. Ensure secure and compliant connections between cloud and on-premises data systems. Leverage Large Language Models to generate content and derive features for ML applications. Telecommuting permitted up to 2 days per week.
Requirements
- Master’s in Computer Science, Computer Engineering, or a related field
- One (1) year of experience in the position offered or one (1) year as a Software Developer, Intern, or a related occupation
- One (1) year of experience with Python
- One (1) year of experience with Libraries including: Numpy; Pandas; Matplotlib; and Scikit-learn.
- One (1) year of experience with Data processing techniques including: Handling missing values; Normalization; and Feature extraction.
- One (1) year of experience with Machine learning algorithms including: Linear regression; Decision tree; and K-nearest neighbors.
- One (1) year of experience with Basic deep learning algorithms
- One (1) year of experience with Frameworks including: TensorFlow; or PyTorch.
- One (1) year of experience with Linear algebra; Calculus; Probability; and Statistics.
Responsibilities
- Design and deploy machine learning (ML) models for data-driven decisions.
- Implement distributed training systems to accelerate model training.
- Analyze data from past events to create labeled training data, extract data trends, and develop new features.
- Build APIs to serve real-time predictions with scalable infrastructure.
- Automate the process to integrate new code changes, test changes, and deploy in production.
- Ensure secure and compliant connections between cloud and on-premises data systems.
- Leverage Large Language Models to generate content and derive features for ML applications.
Benefits
- Comprehensive employee benefits and perks
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What This Job Offers
Job Type
Full-time
Career Level
Director
