Manager of Software Engineering - AIML
Manager of Software Engineering - AIML
Posted on :
05-04-2025
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1 Vacancy
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Job Description
Description
This is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions.
As a Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking CAMP Technology youlead multiple teams and manage daytoday implementation activities by identifying and escalating issues and ensuring your teams work adheres to compliance standards business requirements and tactical best practices.
Job responsibilities
- Responsible for setting direction development and implementation of ML and GenAI driven solutions
- Develop and implement machine learning models and algorithms to solve complex business and operational use cases.
- Design and deploy generative AI applications to automate and optimize business processes.
- Write productiongrade code for both training and inference functions
- Collaborate with Machine Learning engineers product managers key business stakeholders engineering and platform partners to deploy projects that deliver cuttingedge machine learningdriven digital solutions.
- Collaborate with MLOps engineers in developing and testing the training and inference applications under the production architecture blueprint often in integration with upstream and downstream applications.
- Drive endtoend system architecture in collaboration with ML MLOps and Architecture leads.
- Ensure the scalability and reliability of AI/ML solutions in a production environment.
- Stay uptodate with the latest advancements in AI/ML technologies and integrate them into our operations.
- Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm.
Required qualifications capabilities and skills
- Formal training or certification onsoftware engineeringconcepts and 5 years applied experience. In addition demonstrated coaching and mentoring experience
- Proven experience in deploying AI/ML applications in a production environment with skills in deploying models on AWS platforms such as SageMaker or Bedrock.
- Familiarity with MLOps practices encompassing the full cycle from design experimentation deployment to monitoring and maintenance of machine learning models.
- Expertise in machine learning frameworks such as TensorFlow PyTorch Pytorch Keras or Scikitlearn.
- Proficiency in programming languages such as Python Java etc.
- Proficiency in writing comprehensive test cases with a strong emphasis on using testing frameworks such as pytest to ensure code quality and reliability.
- Experience with generative AI models including GANs VAEs or transformers.
- Solid understanding of data preprocessing feature engineering and model evaluation techniques.
- Familiarity with cloud platforms (AWS) and containerization technologies (Docker Kubernetes Amazon EKS).
- Provide overall direction oversight and coaching for a team of entrylevel to midlevel software engineers that work on basic to moderately complex tasks
- Creates a culture of diversity equity inclusion and respect for team members and prioritizes diverse representation.
Preferred qualifications capabilities and skills
- Experience leading teams of ML Engineers and technologists .
- Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives.
- Experience with hiring developing and recognizing talent.
- Excellent problemsolving skills and the ability to work independently and collaboratively.
- Strong communication skills to effectively convey complex technical concepts to nontechnical stakeholders.
- Experience in using GenAI (OpenAI or AWS Bedrock) to solve business problem.
- Experience with large scale training validation and testing
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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