Operations AI Automation Lead - Low Code - Vice president

JPMorgan Chase
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Job Description

As an AI/ML Ops Engineer - Vice President, you will be joining our AI/ML team of Corporate & Investment Bank at JP Morgan Chase to solve exciting business problems in the domain of Client Onboarding and Documentation. Candidates must have a strong engineering, strong ML knowledge , cloud automation and DevOps background and passionate about applying engineering methodology and best practice to machine learning development life cycle. This role will work with Data Scientists/ML Engineers on the team very closely to build model pipeline from data processing to model development/testing then finally bring the model to production environment.

Job responsibilities

  • Collaborate with operations, technology, transformation and other key stakeholders in understanding key business / operational challenges and come up with ideas for process optimizations.
  • Analyze current business process to understand the business needs and to determine how to best fulfil those needs via AI/ML solutions.
  • Conduct Roadshows to create awareness on AI/ML capabilities and demonstrate few solutions deployed.
  • Build and train production grade ML models on large-scale datasets to solve various business use cases for Client Onboarding and Documentation.
  • Design a reusable model life cycle pipeline to make model development and testing a repeatable process.
  • Deploy and maintain models in production environment by providing versioning control of model and hyperparameters and provide interface to troubleshoot issues in production environment; Able to retrain and redeploy the model without interrupt business applications.
  • Automate model metadata capture, model governance artifacts creation processes.
  • Bring automation to labeling, experiment tracking, model testing and deployment frameworks.
  • Develop appropriate functional, non-functional and performance testing frameworks for models
  • Provide centralized dashboard to monitor our AI/ML cloud usage in both dev and production environments to avoid unnecessary cost; monitor model performance in production environment and trigger re-training process if needed.
  • Build, test, and improve/maintain ETL model data pipelines.

Required qualifications, capabilities, and skills :

  • Bachelor’s or master’s degree in computer science, Information Technology, or equivalent technical field.
  • Minimum 10 years of working experience as a software developer, DevOps or relevant software/cloud engineering domains. Minimum 3 years of relevant experience in ML engineering
  • Fluent in at least one programming language e.g. Python, Java, C or C++
  • Fluent in query languages like SQL, Cypher, HiveQL etc.
  • Knowledge of CI/CD is mandatory.
  • Hands on experience on terraform for infrastructure development is mandatory.
  • Hands on experience on Jenkins or similar tools is mandatory.
  • Experience on AWS services like Sagemaker, Step function, EKS, ECR, lambda functions, KMS, IAM, Rout53, ALB is mandatory for this role
  • Past experience in working under Big Data engineering ecosystem (i.e. Hadoop/DataLake, spark, ETL pipeline) is desirable
  • Experience with Enterprise Cloud infrastructure (AWS, Azure, GCP) in a mission critical environment
  • Hands-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Data Dog, Prometheus, Splunk, Apica, Dynatrace Elasticsearch, Grafana
  • Hands on experience with some of the common cloud databases like RedShift, Postgres, Elasticsearch, Neo4j/Neptune are expected.
  • Experience working with end-to-end ML pipeline orchestrators using frameworks like MLFlow, KubeFlow, TensorFlow, Apache Airflow, Step Function

Preferred qualifications, capabilities, and skills

  • Familiar with NLP frameworks and libraries such as HuggingFace, gensim, stanza, fastText
  • Familiar with web-dev framework such as Flask, REACT, AngularJS
  • Common text processing techniques such as tokenization/lemmatization, part-of-speech tagging, chunking, segmentation, text similarity metrics, and regular expressions
  • Familiar with any of the AI/machine learning frameworks, statistical packages, and libraries: TensorFlow, Amazon Machine Learning, Apache Spark, PyTorch, Scikit-learn etc.
  • Familiarity with Sagemaker toolchain i.e. Studio, Groundtruth, Clarify, Comprehend, Pipeline, Bedrock etc.
  • Familiarity with advanced MLOps toolchains like Comet, Weights & Biases, Tensorbaord, etc.
  • Familiarity with dashboarding tools like Qlik, Tableau, Grafana, Kibana etc.
  • Familiar with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization) is a plus.

Prior experience of designing, developing, and maintaining Machine Learning solution through its Life Cycle is highly advantageous.

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 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.

Company Info.

JPMorgan Chase

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase

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