We build machine learning applications that integrate with other applications throughout the firm including workforce tech and HR functions. Our current focus is building a workforce tech AI/ML platform for HR portfolio. Machine Learning models add business critical information to various HR functions like employee experience, recruiting, surveys etc. and our platform integrates with a number of internal applications serving thousands of business users.

As Machine Learning Software Engineer, you will  apply your depth of knowledge and expertise to all aspects of the Machine Learning software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. 

Job responsibilities

• Experience deploying and scaling distributed systems in a cloud environment (preferably AWS implementations) 
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Advanced knowledge of architecture and design across all systems and cloud computing environments
• 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.
• Research, create and evaluate technical solution alternatives for the business needs.
• Experienced in building REST 
• Extensive experience of Internet and Web Technologies including a strong understanding of network protocols such as DNS, HTTP, and associated tools and technologies
• Knowledge of industry-wide technology trends and best practices

Ability to work in large, collaborative teams to achieve organizational goals

Required qualifications, capabilities, and skills

• Proven experience as a Machine Learning Engineer or similar  role
• 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,EC2,Lamda, SageMaker , 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)

Preferred qualifications, capabilities, and skills

• Computer science degree or equivalent experience

• AWS Certifications (AWS Solution architect, developer or ML Specialty)

• Agile fundamentals

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