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.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Bring your Software Engineering experience to the next level and join The Machine Learning Center of Excellence (MLCOE) Team.
The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
As a Software Engineer III at JPMorgan Chase within the Corporate Sector – AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Required qualifications, capabilities, and skills
Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code.
Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance.
Working with data lakes (Amazon S3) and data warehouses (AWS Redshift).
Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications.
Developing dynamic, interactive dashboards with Tableau or Qlik Sense, including advanced visualization, ETL automation, and ODBC connectors.
Data manipulation, structuring, design flow, and query optimization using SQL and Python.
Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow.
Developing software or microservices deployed as REST APIs.
Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue.
Developing and automating high-performance, large-scale data processing systems.
Preferred qualifications, capabilities, and skills
We 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.
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