Responsibilities
Job Description
- Developing data pipelines to collect, process, and analyze diverse datasets at scale.
- Designing and implementing deep learning architectures capable of processing large volumes of data.
- Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.
- Building and managing agentic workflows to support scalable and productive AI/ML solutions.
- Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.
- Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.

Qualifications
- A bachelor’s, master’s, or PhD degree in computer science or a related field, with at least 2–6 years of relevant experience.
- Experience training, building, and deploying large-scale deep learning models is required.
- Experience designing and implementing sequence and time-series models is required.
- Expertise in Python,



with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow.
- Experience with Git, CI/CD pipelines, and MLOps practices for automating model deployment and managing production machine learning workflows.
- Working knowledge of Linux, SQL, Git, and Bash scripting.

Benefits
Our benefits include:
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities

Required Skills
['AI/ML']

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