דרושים Applied Artificial Intelligence Machine Learning Sr Associate ב-גיי פי מורגן ב-United States, Plano

Job responsibilities

• Manage closing and delivery of commercial real estate multifamily loans (GSE), primarily Fannie Mae and Freddie Mac, from application to post closing status
• Work closely with outside counsel, credit officers and bankers on various transactional matters to ensure that the anticipated time frames are met
• Ensure that the appropriate requirements are received and required approvals are obtained for the issuance of commitment letters and rate lock
• Review loan documents to ensure accuracy and compliance with Lender and Agency requirements
• Prepare and issue Commitment Letters, Prepare escrow analysis and Closing Statements in preparation of loan closing
• Work closely with counsel and credit teams on loan document negotiations and modifications
• Ensure all approvals and waivers are in place including insurance reviews and confirmation on payment of taxes
• Ensure compliance with bank policies, procedures and regulatory requirements are met
• Coordinate with outside counsel, title/escrow and closing partners to ensure timely funding on closing day
• Confirm loan information in systems and documents are accurate for loan servicing and boarding
• Prepare and submit the final data and upload the appropriate documents timely and accurately to ensure final settlement with the appropriate agency

Required qualifications, capabilities, and skills

• 3+ years of experience with closing and delivery of Fannie Mae and Freddie Mac multifamily loans."
• Knowledge of Fannie Mae and Freddie Mac applications.
• Ability to work as part of a team, interact, and collaborate.
• Ability to train and provide guidance to less experienced associates
• Strong analytical and problem-solving skills; ability to resolve issues with management guidance
• Demonstrated excellent attention to detail and accuracy
• Ability to work autonomously to manage time effectively and prioritize work appropriately to meet deadlines
• Strong business communication skills; able to write/speak clearly and professionally with a variety of stakeholders
• Demonstrated ability to establish credibility and rapport with internal and external stakeholders
• Proven ability to maintain confidentiality and professionally handle sensitive documents

Preferred qualifications, capabilities, and skills

• Proficient with Microsoft (word, excel, PowerPoint) systems and Adobe.
• Knowledge of Commercial Real Estate terms
• Bachelor’s degree is preferred

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s): Java, Python, React, Kotlin, AWS, AI/ML
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Demonstrate strong leadership skills to effectively guide and motivate teams towards achieving organizational goals
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

• AWS Services, Dynamo, MongoDb

As a Lead Data Engineer at JPMorgan Chase within the Consumer and Community Banking , you will be an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way to support the 70K+ employees on our platforms while delivering efficiencies, better planning of workforce and value to the firm. You will be a core technical contributor responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. You will deliver innovative data management solutions using Python and AWS.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience leading teams of technologists
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s) Java or Python with Advanced experience in AWS tools (EKS, ECS, RDS, Dynamo, Lambda, Glue) & infrastructure
• Exhibit excellent presentation skills to clearly convey strategies and the utilization of collaboration tools.
• Service Oriented Architect
• Able to drive large scale software implementations.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives.
• Experience with hiring, developing, and recognizing talent.
• Practical cloud native experience
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines.

Preferred qualifications, capabilities, and skills

• Experience working at code level.
• Experience leading teams of technologists.
• In-depth knowledge of the services industry and their IT systems
• Teradata, Data Lakes and AI/ML usage and implementation, design and techniques

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.

As a Risk Management - Wholesale Credit Risk Policy Document Associate in the Wholesale Credit Portfolio Analytics team, you will develop value added risk analytics solutions through the deployment of advanced analytical frameworks on top of the firm’s big data resources. In this role, you will focus on leveraging data to enhance the current end-to-end credit risk process across all of Credit Risk.

Job Responsibilities

• Manage a portfolio of credit risk documents that includes working with document owners to write documents, solicit and incorporate feedback, obtain document owner approvals and publish to the firmwide policy portal.
• Manage the WCR document governance process and maintaining strong controls. This includes challenging content.
• Lead with authority, drives decisions and influences stakeholders in the governance process and provide training, if necessary.
• Lead cross-line of business and regional projects through multiple platforms (e.g. Forums, working group sessions, and deep dives).
• Lead meetings with functional support groups to participate and align on the transformation of risk policy priorities.
• Create and present reporting related to progress, inventory status and highlight obstacles and challenges while suggesting solutions.
• Prepare senior management presentations and provide updates on deliverables and team projects.

Required qualifications, skills and capabilities

• Strong, clear, and concise written and verbal communications; edit and prepare executive level communications
• Excellent organizational and project management skills; able to manage competing priorities under tight deadlines and a constantly changing environment.
• High degree of initiative, self-direction, ability to work well under pressure and learn quickly.
• Intellectual curiosity and willingness to take on responsibilities that fall outside your immediate area of expertise.
• Inclusive leadership skills with the ability to collaborate across multiple stakeholder groups and regions. Appreciate the value of working in partnership with others to influence change and accomplish individual and team goals.

Preferred Qualifications

• Working knowledge of Credit Risk concepts preferable.
• WCR audit, control, policy or governance experience preferable.

As a Senior Associate Recruiter in Private Banking, you will ensure your clients are best positioned to attract, source and recruit top talent, both internally and externally. Your primary responsibilities include staffing the business with quality hires, providing strategic talent acquisition solutions and proactive pipelining for future needs. As a segment subject matter expert, you will manage the end to end recruitment lifecycle for roles within your segment.

Job Responsibilities

• Qualify new requisitions, ensuring information is accurate and job descriptions align with global guidance
• Lead requirement intake calls with hiring managers and offer guidance on the recruitment processes, controls and policies
• Proactively map talent, create, add to, and manage candidate talent pools and operate as a specialist within your market
• Source and pipeline qualified candidates through a wide variety of channels, supported by your aligned sourcing partner when required
• Evaluate (screen), interview and present qualified candidates to hiring managers
• Partner with the interview scheduling team to arrange candidate interviews with hiring teams
• Provide a positive candidate experience with frequent and timely communication throughout the recruitment process; share manager feedback and appropriately disposition candidates in real time
• Act as a subject matter expert, influencing decision making and effectively manage hiring manager and candidate expectations
• Conduct pre-offer candidate calls and take ownership of offer negotiation and management
• Liaise with hiring managers, human resources, and compensation partners to ensure appropriate offer approvals are in place
• Present to and update senior client groups on recruiting activity and manage escalations effectively

Required qualifications, capabilities, and skills

• 5+ years of experience working within a recruiter role either in-house or within a talent acquisition agency
• Experience sourcing and pipelining talent
• Demonstrate excellent client management skills
• Demonstrated ability to build relationships and deliver a first class candidate experience
• Excellent communication skills both written and verbal
• Demonstrated ability to present recruiting activity to senior clients when required
• Demonstrated ability to manage client expectations and escalations where appropriate
• Good prioritization and organizational skills with the ability to multi-task
• Demonstrated ability to work independently and as part of a wider team

As an Applied AI/ML Vice President within our dynamic team, you will utilize your quantitative, data science, and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design, develop, evaluate, and execute data science and analytical solutions, all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions.

Job responsibilities

• Engaging with stakeholders and understanding business requirements,
• Developing AI/ML solutions to address impactful business needs,
• Working with other team members to productionize end-to-end AI/ML solutions,
• Engaging in research and development of innovative relevant solutions,
• Coaching other AI/ML team members towards both personal and professional success,
• Collaborating with other teams across the firm to attain the mission and vision of the team and the firm

Required qualifications, capabilities, and skills

• Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
• Experience in the application of AI/ML to a relevant field
• Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
• Strong experience in natural language processing (NLP) and its applications.
• Solid coding level in programming languages, like Python, R, and C++, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
• Previous experience in working on Spark, Hive, and SQL,

Preferred qualifications, capabilities, and skills

• Financial service background
• PhD in one of the above disciplines with minimum 3 years of relevant experience or Master in one of the above disciplines with minimum 5 years of relevant work experience