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JPMorganChase

Applied AI ML Director - Machine Learning

Posted 4 Hours Ago
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Hybrid
Hyderabad, Telangana
Expert/Leader
Hybrid
Hyderabad, Telangana
Expert/Leader
Lead and manage a team in developing AI/ML solutions, architect infrastructure, optimize performance, and drive innovation in ML products.
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Job Description
Elevate your career as the Director of Machine Learning Engineering, where your technical expertise and visionary leadership will shape the future of AI and ML solutions.
As a Director of Machine Learning Engineering at JPMorgan Chase within the Corporate Sector - Artificial Intelligence and Machine Learning (AIML) Data Platforms, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery.
You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, 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

  • Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions.
  • 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.
  • Lead 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.
  • Manage, mentor, and develop a team of AI/ML professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals.


Required Qualifications, Capabilities, and Skills

  • Formal training or certification in software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
  • 12+ years of experience in engineering management 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 leadership in working effectively with engineers, data scientists, and ML practitioners.


Preferred Qualifications, Capabilities, and Skills

  • Strong coding skills and experience in developing large-scale AI/ML systems.
  • Proven track record in contributing to and optimizing open-source ML frameworks.
  • Recognized thought leader within the field of machine learning.
  • Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.


About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Top Skills

AI
AWS
Azure
Eks
GCP
Helm
Jax
Kubernetes
Machine Learning
PyTorch
Scikit-Learn
TensorFlow

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