Software Engineer II - AI/ML MLOPS Engineer

Key Skills

Aartificial intelligence, Agile methodologies, Amazon RedShift, Apache Groovy, Apache Hadoop, Apache Hive, AWS, AWS Sagemaker, Bash scripting, Continuous Integration & Continuous Delivery - CI/CD, Data pipelines, Data science techniques, Infrastructure as code, Java Programming, Keras software library, Machine learning techniques, MLOps tools, Python Programming, PyTorch, Scikit-learn, SDLC

Job Description

As a Software Engineer II (Machine Learning Operations Engineer Engineer) at JPMorgan Chase within the Corporate Sector working on Enterprise Technology, you are part of an agile team that works closely with data scientists to deliver state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you will be using AWS cloud services to build AI/ML platforms for our Machine Learning models that add business critical information to our internal applications serving thousands of users. In the process, you will be gaining the skills and experience needed to grow within your role. 

Job responsibilities

• Deploy and scale distributed systems in a cloud environment (preferably AWS implementations)
• Demonstrate advanced knowledge of application, data, and infrastructure architecture disciplines
• Apply advanced knowledge of architecture and design across all systems and cloud computing environments
• Utilize strong programming skills in Java, Python, Bash, Groovy and software engineering principles.
• Develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.
• Exhibit extensive experience of Internet and Web Technologies including a strong understanding of network protocols such as DNS, HTTP, and associated tools and technologies
• Maintain a strong understanding of network protocols and network security

Required qualifications, capabilities, and skills

• Formal training or certification on Machine Learning concepts and 2+ years applied experience
• Expert level experience in ML SDLC , developing and productionizing Python and Java applications
• Expert level hands on experience in deploying ML applications to AWS cloud using (SageMaker, EMR etc)
• Hands on experience in AWS apps such EMR, Sage Maker , Cloud Watch, S3 Data Lake etc ((this is a must)
• Strong knowledge in CI/CD pipelines and tools such as Jenkins, Spinnaker, Bitbucket, Splunk, CloudWatch, Grafana, Dynatrace, Terraform .. etc (this is a must)
• Experience in deploying applications Kubernetes and AWS platform
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Familiarity with data pipelines , HADOOP, Hive, Redshift etc

Preferred qualifications, capabilities, and skills

• Computer science degree or equivalent experience
• AWS Certifications (AWS Solution architect, developer or ML Specialty)
• Agile fundamentals

ABOUT US

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 and perspectives that 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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs. (If you are a US or Canadian applicant with a disability and wish to request an accommodation to complete the application process, please contact us by calling the Accessibility Line (US and Canada Only) 1-866-777-4690 and indicate the specifics of the assistance needed.)