Applied AI ML Senior Associate
JPMorganChase
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Role Description – Applied AI ML Senior Engineer
Elevate your career as a Machine Learning Engineer, where your technical expertise will shape the future of AI and ML solutions.
As an Applied AI ML Senior Engineer at JPMorgan Chase within the Corporate Sector – AIML Data Platforms, you will contribute to a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning and software engineering to spearhead complex ML projects and initiatives, serving as a catalyst for innovation and solution delivery.
You will be responsible for implementing best practices in ML engineering, with the goal of producing high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key.
Job Responsibilities
- Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions.
- Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage.
- Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems.
- Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks.
- Drive the adoption and execution of AI/ML Platform tools across various teams.
- Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.
- Contribute to the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth.
Required Qualifications, Capabilities, and Skills
- Bachelor's degree or equivalent practical experience in a related field.
- 5+ years of experience in engineering with a strong technical background in machine learning.
- Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).
- Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture.
- Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators.
- Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems.
- Strategic thinker with the ability to craft and drive a technical vision for maximum business impact.
- Demonstrated ability to work effectively with engineers, data scientists, and ML practitioners.
Preferred Qualifications, Capabilities, and Skills
- Strong Python coding skills and experience in developing large-scale AI/ML systems.
- Proven track record in contributing to and optimizing open-source ML frameworks.
- Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.
About Us
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
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