Software Engineering- Machine Learning Operation Engineer Job Vacancy in JPMorgan Chase Bank, N.A. Bengaluru, Karnataka – Updated today

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Full Details :
Company Name :
JPMorgan Chase Bank, N.A.
Location : Bengaluru, Karnataka
Position :

Job Description : We are looking for a Machine Learning Ops Engineer to join our AIML team to solve exciting business problems in the domain of commercial banking, payments and financial services. Candidates must have a strong engineering and DevOps background and passionate about applying engineering methodology and best practice to machine learning development life cycle. This role will work with Data Scientist 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. This is a unique opportunity to apply your skills and have a direct impact on global business.
The ideal candidate will have strong software engineering skills and ability to build systems that reach JP Morgan scale. Knowledge of ML and have experience working with massive amounts of data is a big plus.
What You’ll Do:

Work with data scientist closely to build and train production grade ML models on large-scale datasets to solve various business use cases for Commercial Banking.
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.
Provide centralized dashboard to monitor CB AIML 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 data pipelines.
Simplify model development by providing automated tools and minimize manual work from data scientist engineers.
Collaborate and communicate with other stakeholders including data service and ML platform teams on regular basis.
Standardize and formalize MDLC process in CB and possibly introduce to other LOBs
Basic Qualifications:

Bachelor or Master’s degree in Computer Science, Information Technology, or equivalent technical field.
Minimum 5+ years of working experience as a software developer, DevOps or relevant engineering experience.
Fluent in at least one programming language e.g. Python, Java, C or C++
Fluent in query languages like SQL, Cypher, HiveQL etc.
Past experience in working under Big Data engineering ecosystem (i.e. Hadoop/DataLake, spark, ETL pipeline) is desired
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, Elasticsearch, Grafana
Strong working knowledge of modern development technologies and tools such as Agile, CI/CD, Git, Terraform and Jenkins.
Experience working with end-to-end pipelines using frameworks like KubeFlow, TensorFlow, Apache Airflow.
Excellent communication and team work.
Preferred Skills/Experience:

Familiar with any of the AI/machine learning frameworks, statistical packages, and libraries: Tensorflow, Amazon Machine Learning, Apache Spark, PyTorch, Scikit-learn 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
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.

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