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hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
DESCRIPTION:
Duties: Build advanced machine learning and NLP models to address complex business challenges and enhance product capabilities. Design and implement creative software solutions that integrate machine learning models into real-world business flows, leveraging programming languages for production-quality code development. Collaborate with product managers and partner teams to translate business requirements into technical specifications and designs, incorporating state-of-the-art machine learning models. Develop scalable APIs using cloud services, ensuring secure and high-quality production code that meets industry standards. Utilize CI/CD tools and containerization methodologies to deploy code into production environments, automating processes to enhance operational stability and efficiency. Facilitate data pipelines to ensure seamless integration of machine learning models into existing systems. Drive evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials, ensuring applicability within existing information architecture. Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across various business areas, contributing to reusable code and components. Engage in independent research and exploration of new machine learning methods to stay abreast of advancements and apply them to complex business- critical problems. Implement statistical analysis and testing to validate machine learning models and ensure their effectiveness in solving business problems, providing insights into data-driven decision-making processes. Develop and utilize knowledge graphs to enhance data connectivity and semantic understanding, enabling advanced data analytics and solving problems such as fraud detection.
QUALIFICATIONS:
Minimum education and experience required: Master's degree in Data Science, Machine Learning, Computer Science, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Software Engineer, Machine Learning Engineer, Research Engineer, or related occupation. The employer will alternatively accept a Bachelor's degree in Data Science, Machine Learning, Computer Science, or related field of study plus 5 years in the job offered or as Data Scientist, Software Engineer, Machine Learning Engineer, Research Engineer, or related occupation.
Skills Required: This position requires experience with the following: Applying statistical methods and probability theory for effective hypothesis and A/B testing to enhance machine learning models and business decisions; Designing and developing machine learning models to address real-world business challenges using structured and unstructured data; Leveraging Python for machine learning model development, training, and inference using a rich library ecosystem; Integrating knowledge graphs with ML models to infer data relationships to enhance semantic understanding and AI decision-making; Building backend services using Java, and integrating solutions into business systems with multi-threading and multiprocessing for performance and security; Streamlining software development and deployment using Jenkins for CI/CD pipelines; Containerizing ML applications using Docker for consistent, scalable deployment; Deploying ML models with AWS services such as SageMaker leveraging AWS infrastructure for data storage, processing, and hosting; Employing Informatica for data integration and ETL processes, ensuring quality data management for timely analysis; Automating and scheduling workflows using Autosys for efficient machine learning and data pipeline execution; Providing modular, scalable software solutions using Microservices architecture integrating ML models into business workflows.
Job Location: 8181 Communications Pkwy, Plano, TX 75024
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of 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 & Co. is an Equal Opportunity Employer, including Disability/Veterans
hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.