דרושים Machine Learning Scientist - Nlp Sr 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.

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.

Job Responsibilities:

• Provide architecture and support for the adoption and management of Access Management, Directory & Federation Services, Single Sign-On (SSO), Multi-factor Authentication (MFA), and similar secure authentication services.
• Lead the development and maintenance of the Identity Management Controls, ensuring alignment with industry best practices.
• Develop, build, and maintain technology design and architecture to enable continuous contextual authentication and authorization, fostering innovation and continuous improvement.
• Mentor junior team members and lead cross-functional teams to drive cybersecurity initiatives and projects.
• Engage with stakeholders across various technical and business functions to develop and maintain the roadmap for enterprise IAM solutions, ensuring alignment with strategic goals.
• Conduct risk assessments and manage cybersecurity risks, implementing effective mitigation strategies.
• Maintain up-to-date knowledge of identity and access management best practices and encourage continuous learning and professional development within the team.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on Cybersecurity Architecture concepts and 5+ years applied experience
• Demonstrated design and development experience in large-scale, complex environments with heavy regulatory needs.
• Expertise in Authentication and Authorization protocols, including Active Directory Services, EntraID, ADFS, OAuth, OIDC, SAML, Encryptions, and PKI.
• Hands-on experience delivering Directory services security, Large scale migrations.
• Expertise in Digital Certificate Management (DCM) and rolling out PKI services across enterprise services
• Advanced proficiency in one or more programming languages and object-oriented programming (e.g., Python, Go).
• Proficiency in automation, continuous delivery methods (CI/CD), and Infrastructure as Code (IaC).
• Strong understanding of agile methodologies, application resiliency, and security.
• In-depth knowledge of the financial services industry and their IT systems.
• Experience in directory services and identity data management.

Preferred Qualifications, Capabilities, and Skills:

• Strong skills in cybersecurity, architecture, and process engineering.
• Excellent collaboration, communication, and stakeholder management skills.
• Experience with third-party tools and technologies, including ADFS, Active Directory, Microsoft Entra ID, ForgeRock, Ping Identity/Access, API Gateways, Active Directory, CyberArk, Delinea, and Hashi Corp Vault.

As a Commercial Real Estate Client Associate within the Commercial Term Lending team, you will have the opportunity to develop strong business relationships through proactive calling of prospects and existing clients. You will play an integral role in creating and implementing marketing strategies, interacting with clients to understand their team member business needs, and offering creative solutions to help them grow their real estate portfolio. You will also analyze commercial multifamily real estate cash flow and valuation, model various financial assumptions to select the best mortgage product for the client, and promote the loan package through the process from pre-approval to funding. This role requires a minimum of 2 years of professional experience within a commercial real estate firm or other area of financial services, a strong understanding of financial concepts, excellent time management, verbal communication and presentation skills, and a strong desire to be a contributing member on a sales team.

Job responsibilities

• Develop strong business relationships through proactive calling of prospects and existing clients
• Act as an integral part of creating marketing strategy, and hold responsibility for implementing the marketing plan which includes direct mailings, thought leadership digital mailings, and proprietary client events
• Interact with clients by seeking to understand their individual business needs and offering creative ways for them to successfully maintain and grow their real estate portfolio
• Analyze commercial multifamily real estate cash flow and valuation
• Model various financial assumptions to select the best mortgage product for the client
• Set expectations with the client and review process and timeline from pre-approval through the funding of the loan
• Drive the loan package through the process by assessing status and leveraging internal business partners

Required qualifications, capabilities, and skills

• Minimum of 2 years of professional experience within a commercial real estate firm or other area of financial services (Investment Management, Commercial Banking, Business Banking or Insurance)
• Strong desire to be a contributing member on a sales team
• Strong understanding of financial concepts required, including being highly proficient in all Microsoft Office applications (Word, Excel, PowerPoint and Outlook) with strong analytical skills
• Excellent time management, verbal communication and presentation skills
• Enthusiastic, self-motivated, ambitious, team player
• Professional, thorough, organized and detail oriented; able to follow standard operating policies and procedures
• Able to identify new sources of business by researching industry and related events, publications, and announcements

Preferred qualifications, capabilities, and skills

• A four-year college degree with a major in a related field (Business Administration, Real Estate, Finance and/or Marketing - preferred) or commensurate experience in the financial services industry
• Experience cold calling preferred
• Familiarity with CoStar preferred