Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers. As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls organization, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains. Job responsibilities <ul> <li>Create bespoke data models and algorithms tailored to address Cyber Technology Group's requirements and apply them to data sets while developing and employing the company's A/B testing framework to assess model quality </li> <li>Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets </li> <li>Utilize open-source and third-party models while contributing to the development of innovative AI capabilities </li> <li>Coordinate with various functional teams to implement models and track results </li> <li>Establish processes and tools for monitoring model performance and data accuracy and develop custom models when suitable models are unavailable in JPMC's inventory, from suppliers, or in the open-source domain. Extract and analyze data from JPMC data sources, evaluating the effectiveness and precision of new data sources and data collection techniques </li> <li>Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability </li> <li>Orchestrate multiple models and develop innovative approaches for sparse-data situations </li> <li>Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs</li> <li>Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability</li> <li>Triages based on risk assessments of various threats and managing resources to cover impact of disruptive events</li> <li>Adds to a team culture of diversity, equity, inclusion, and respect </li> </ul>Required qualifications, capabilities, and skills <ul> <li>Formal training or certification on security engineering concepts and 5+ years applied experience</li> <li>Experience developing ML pipelines, including data gathering from system records, data preparation (analysis and preprocessing), model selection, training, testing, validation, and prediction</li> <li>Proficient in using algorithms such as Linear Regression, Logistic Regression, Decision Tree, Random Forest, Bagging and Boosting, K-Nearest Neighbor, Support Vector Machine, Single/Multi-Layer Perceptron, Feed Forward, CNN, RNN, LSTM, GRU, BERT, Hugging Face and Spacy Models, Naive Bayes, Markov-Model, Graph Models, and more</li> <li>Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript </li> <li>Familiarity with frameworks such as React or Angular</li> <li>Demonstrate a solid understanding of statistical theory, data mining, or machine learning algorithms. Understand advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and have experience applying them</li> <li>Expertise in Python, SQL, and Spark for developing large-scale applications using extensive datasets and have experience working with and creating data architectures</li> <li>Skilled in planning, designing, and implementing enterprise-level security solutions</li> <li>Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li> <li>Practical cloud native experience </li> </ul>Preferred qualifications, capabilities, and skills <ul> <li>Experience in managing GPU and compute resources in frameworks like PyTorch or TensorFlow </li> <li>Proficiency in coding with multiple languages, including C, C++, and object-oriented languages </li> <li>Experience in developing applications in cloud environments such as AWS, Google Cloud, and Azure and familiarity with CI/CD pipelines and Agile methodology</li> <li>Experience utilizing web services such as Redshift, S3, Spark, DigitalOcean, etc.</li> <li>Familiarity with distributed data/computing tools like Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, and others</li> <li>Experience in LLM based solution development and wrapper languages; e.g., OpenAI with LangChain and intelligent Agents</li> <li>Show proven experience in applying AI to comprehensive and practical technology solutions </li></ul> JPMorgan Chase & Co., 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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 is an Equal Opportunity Employer, including Disability/Veterans

This is a full-time internship position for our Fall Rotation, from September 23, 2024 through December 20, 2024 in Columbus, OH The Data Scientist - IT Intern will have the opportunity to contribute to a variety of functions and responsibilities across the department. The intern will attend daily/weekly standups and showcase progress and successes to stakeholders. They will also work on AI/Data Science and Innovation use cases and serve as IT operations with reference to AI. . Key Responsibilities: Collaborate with business partners and IT departments to understand company needs and develop possible solutions Keep up to date with latest technology trends Communicate results and ideas to key decision makers Support implementation of new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Facilitate organization aspects of data and analytics symposium (Internal analytical community event) Assist the lead data scientist within the department with process and tools to build and monitor AI models Visualize key business data and key performance metrics Support with IT operations Join the BMW North America team and enjoy a high-performance Total Rewards package that may include: Medical Insurance All with options for $0 Employee contribution Paid Time Off in addition to Company paid holidays where eligible Hybrid work environment Intern Vehicle Lease Program The hourly rate for Undergraduate students is $26 The hourly rate for Graduate students is $32 The selected student's academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements. Even more so than the generous compensation and benefits, the culture and values of Shared Services make it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business. At BMW, we are driven by diversity, equity, and inclusion. We are proud to be an Equal Opportunity Employer and are welcoming of all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Requirements: Currently enrolled in a bachelor or master's degree program at an accredited college or university Possess a minimum cumulative GPA of 3.0 (not just in major) Have completed at least 30 college credit hours at time of application Field of study: Computer Science, IT, Data Science, AI, or related field Must attach a copy of college unofficial transcript Ability to work full-time (40 hours/week) Prior BMW Group experience (applicable to international J1 students only) Proficient working knowledge of R or Python programming Excellent time-management skills; ability to prioritize and handle multiple tasks simultaneously Ability to manage sensitive and confidential information Self-motivated, adaptable to a dynamic environment Preferences: Knowledge of AWS cloud use Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity

Data Scientist Jobs in Westerville, OH

Lead Security Engineer Ai Ml Data Scientist
September 5, 2024

Intern Data Scientist It
September 5, 2024

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Data Scientist Jobs in Westerville, OH

Lead Security Engineer Ai Ml Data ScientistSeptember 5, 2024

Intern Data Scientist ItSeptember 5, 2024

Quick filters

Top companies

Lead Security Engineer Ai Ml Data Scientist
September 5, 2024

Intern Data Scientist It
September 5, 2024