Software Engineer II -ML Engineer for CT ISDA Model Monitoring
Bengaluru, Karnataka, India
JPMorgan Chase & Co.
There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.
As a Software Engineer III at JPMorgan Chase within the Intelligent Systems and Data Analytics , 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
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience in Python, REST Services.
• Experience with design, development, deployment, and support of large-scale applications in AWS
• Should have experience working with AWS services like DynamoDB, Secret Manager, EKS, ECR, S3, Lambda, SQS, SNS, Cloudwatch, Route53, Load balancers and AWS Terraform.
• Experience with development tools such as Spinnaker, Jules, Jenkins, Git/BitBucket, Jira, etc.
• Experience with Kuvernetes : Understanding of deployment, Config Map, Secrets , Sidecar, Calico, Kustomize
• Solid understanding of traditional data science techniques, time series data and data engineer pipelines for big data
• Strong knowledge of basic data science libraries in Python (ex. pyspark), LaTeX, frameworks such as PyTorch, TensorFlow, Keras
Preferred qualifications, capabilities, and skills
Good knowledge on Cloud technology, Data Analytics.
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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Banking Big Data Bitbucket Data Analytics DynamoDB Engineering Git Jira Keras Lambda Machine Learning Pipelines PySpark Python PyTorch TensorFlow Terraform
Perks/benefits: Team events
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