דרושים Us Private Bank – Investment Professional Associate ב-גיי פי מורגן ב-United States, Seattle

• Serves as a subject matter expert on a wide range of ML techniques and optimizations.
• Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
• Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conducts experiments using latest ML technologies, analyzing results, tuning models
• Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
• Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
• Integrates Generative AI within the ML Platform using state-of-the-art techniques.

• MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 2 years of applied machine learning experience.
• At least 4 years' experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
• At least 2 years’ experience in applying data science, ML techniques to solve business problems.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Hands-on experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
• Ability to work on tasks and projects through to completion with limited supervision.
• Passion for detail and follow through. Excellent communication skills and team player.

• Master’s degree in computer science, ML or related areas
• Experience with Ray, MLFlow, and/or other distributed training frameworks.
• In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
• Experience working with large-scale MLOps pipelines, working with and deploying models to production services.

At Compliance Conduct and Operational Risk division, as a trade surveillance personnel you would be responsible for identifying potential instances of market abuse, notably insider trading and market manipulation using well known surveillance systems, conducting surveillance of activities in Firm and Employee accounts to comply with the information barrier and restricted list policies. The trade surveillance team would be responsible for looking into the risks across markets using the established surveillance program to safeguard the firm against any reputational and/or financial risk while complying with internal policies and regulatory requirements.

Job Responsibilities:

• Reviewing Trade surveillance alerts and conducting analysis of trading and market activity for asset class and programs such as Equities, Information barriers, Fixed income, Futures/ Options and Asset management
• Properly documenting the review and disposition of the exceptions as well as escalating matters appropriately
• Working with business and compliance stakeholders to identify potential market misconduct and technical rule violations and disposition, accordingly, include through interaction with regional Surveillance teams
• Conducting alert-based reviews for potential violations of laws, rules, and regulations.
• Work along with peers, handle multiple reports, engage in result-oriented tasks in a fast-paced environment. Identifying areas for process improvement and contribute towards the same
• Additional duties as assigned & Identifying areas for process improvement and contribute towards the same
• Identify key issues, risks, trends, observations and have them highlighted to management/key stakeholders

Required qualifications, capabilities, and skills:

• Qualified graduate with minimum of 6 years of trade surveillance / product experience with exchange traded products (including equities, futures and Fixed income) and/or information barriers / Asset management
• An understanding of markets and potential market manipulative behavior and a demonstrated ability to conduct reviews relating to regional rules and regulations
• Experience with reviewing trading activity for Compliance and familiarity with securities laws and regulations for identifying potential trading violations

Preferred Qualifications, Capabilities, and Skills:

• Experience with SMARTS, Actimize or similar Trade surveillance systems is a plus
• Experience with navigation and sourcing of information in Bloomberg/public sources
• Working Knowledge of securities markets preferred

As a Treasury Sales Group Manager in Commercial Banking, you will lead and develop Treasury Management Sales Associates. You will play a key part in delivering an exceptional experience for clients while mitigating risk and appropriately guiding the team. You will develop partnerships with Bankers, Client Service, Product Leadership (Core Cash, Card and Commerce Solutions) and Implementation teams. You will use your deep understanding of the treasury and leadership skills to develop and execute a strategy localized to market, growth, and product.

Job Responsibilities

• Lead, hire, and manage a team of Treasury associate professionals to drive revenue through speed to market, deepening relationships, and excellent client experience
• Leads with direction and coordination building successful relationships internally and externally
• Direct client interaction focused on client experience
• Monitors staff performance, provides appropriate coaching, recognition and feedback
• Builds collaborative internal relationships with Segment and Industry Treasury Sales Team, bankers and other internal partners
• Participates in partner meetings and communicates key Treasury Management messages in a timely and accurate manner
• Protects the firm by applying sound risk management protocols and adhering to regulatory requirements
• Develop and implement client, market, people, and business strategies

Required qualifications, capabilities, and skills

• 5+ years of treasury sales and industry experience
• 3+ years of demonstrated leadership experience driving new business, building relationships and successfully partnering for a positive experience for all involved
• Deep knowledge of treasury products and solutions
• Highly motivated, independent worker within a team-oriented culture
• Excellent client management skills
• Ability to communicate and present to large groups
• Demonstrated sales coaching abilities including successful sales and marketing skills

Preferred qualifications, capabilities, and skills

• Familiar with Microsoft Word, Excel, and PowerPoint
• Bachelor’s degree; advanced degree preferred
• Superior analytical and quantitative skills
• Exceptional verbal and written communication skills

FEDERAL DEPOSIT INSURANCE ACT:

As a
Applied AI ML Sr Associate at JPMorgan Chase within the Corporate Sector – 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

• Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage.
• Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.
• Implement, deliver, and support high-quality ML solutions in partnership with a team of ML Engineers.
• Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions.
• 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.
• 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.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree or equivalent practical experience in a related field.
• 6+ 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.

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.
• Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.

As a AI/ML Engineer within our platform operations team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities:

• Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements.
• Provide mentorship and guidance to junior engineers.
• Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities.
• Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
• Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
• Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
  Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
• Collaborate with cross-functional teams to evaluate and refine architectural designs for AI systems, ensuring scalability and robustness.
• Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation.

Required qualifications, capabilities, and skills:

• Minimum 5+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch.
• One year of experience in generative AI development and prompt engineering.
• Proven experience in system design, application development, testing, and operational stability in AI projects.
• Minimum of 3+ years of strong experience with React or Angular.
• 1+ year of AWS experience is a must-have.
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.
• Experience with LLM models and agentic tools.

Preferred qualifications, capabilities, and skills:

• Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
• Familiarity with data engineering practices to support AI model training and deployment.
• Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
• Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
• Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.