Machine Learning Engineer - Vice President
On-site · Plano, Texas, United States
Job Summary
Machine Learning Engineer – Vice President driving AI/ML-enabled software solutions within JPMorgan Chase's GTI. Role emphasizes designing and maintaining scalable software with integrated AI/ML capabilities, focusing on network automation and AIOps, collaborating across matrixed teams, and deploying large-scale infrastructure solutions using languages including Python, Java, C, C++, and Go; includes data preprocessing, model integration, production deployment, code reviews, and staying current with AI/ML tech and DevOps practices.
Required Qualifications
- Bachelor’s degree in Computer Science or equivalent practical experience
- 5+ years of building orchestration and automation focused on enterprise networks
- 5+ years of experience as a software developer with a focus on integrating AI/ML solutions
- Strong programming skills in Python, with experience in developing and maintaining production-level code
- Experience with application architecture and design patterns
- Proficiency in working with large datasets and data preprocessing
- Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing
- Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras
- Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications
- Strong problem-solving and analytical skills and Excellent communication and collaboration skills
- Familiarity with DevOps practices for software deployment and monitoring
- Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka
- Experience with distributed computing frameworks, such as Apache Spark
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