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Senior AI/ML Engineering Director
1 week ago
Job Description: We are seeking a Senior AI/ML Engineering Director to lead our AI Acceleration team in enabling AI democratization through apps & services and driving asymmetric growth through embedding generative AI capabilities across our business.
Key Responsibilities:
- Lead technical ML engineers on larger projects that span months
- Foster a collaborative and innovative team environment, encouraging professional growth and development among junior team members
- Leverage known patterns, frameworks, and tools for automating & deploying machine learning solutions
- Develop new tools, processes, and operational capabilities to monitor and analyze model performance and data accuracy where needed
- Work with researchers to optimize and scale Machine Learning Solutions using best practices in DevOps & MLOps
- Abstract ML solutions as packages, APIs, or components that could be reused across the business
- Build, steward, and maintain production-grade solutions (robust, reliable, maintainable, observable, scalable, performant etc.) to manage and serve machine learning models and science solutions
- Research state of the art artificial intelligence and machine learning algorithms, patterns, processes, and tooling to identify new opportunities for implementation across the enterprise
- Serve as early adopter of new machine learning tools, platforms, and processes
- Understand business requirements and trade-off scale, risk, and accuracy to maximize value and translate research into consumable products or services
- Reduce time to delivery, automate ML pipelines, and implement continuous feedback & monitoring practices
Requirements: To succeed in this role, you will need:
- Bachelor's degree or higher in Machine Learning, Computer Science, Computer Engineering, Applied Statistics, or related field
- 4+ years of experience developing cloud-based software solutions and an understanding of design for scalability, performance, and reliability
- 4+ years of experience using advanced algorithms, programming languages, or technologies
- 2+ yrs hands-on experience building large-scale ML models, preferably as a data scientist
- 2+ years of experience in emerging AI preferred
- Strong communication skills, particularly on technical topics
- Knowledge of deep learning methods is highly preferred
- Working experience in one or more ML frameworks such as PyTorch, TensorFlow, MLLib, and MLFlow
- Hands-on experience with technologies such as Azure, Spark, Nvidia Triton and Databricks