Sr Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer focused on Machine Learning at JPMorgan Chase within the Consumer & Community Banking Risk Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities


* Design Enterprise Machine Learning platforms that are capable of running predictive models.


* Document Machine Learning processes and keep abreast of Developments in Machine Learning.


* Establish standards, guidance and best practices for ML Platform.


* Establish the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability.


* Provides technical leadership, guidance and direction to other team members.


* Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders.


* Solving complex problems with datasets and optimize existing ML libraries and frameworks.


* Need to have advance knowledge of application, data and infrastructure disciplines


* Understanding of software skills such as business analysis, development, maintenance, and software improvement


* Apply knowledge of machine learning model frameworks, algorithms and tools for building ML solutions


* Deliver high-quality results under tight deadline

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience .

In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise


* Background with Machine Learning Frameworks and Big Data technologies such as EMR and Spark


* Strong experience in programming languages such as Java, Scala and Python


* Python Machine Learning library and ecosystem experience ( Pandas and Numpy etc)


* Experience in building ML Models, experience with model accuracy and tuning.

Working with Data structured and NLP models


* Ability to juggle multiple priorities and effectively deliver in a fast-paced, dynamic environment


* Experience with Cloud technologies such as AWS or Azure.


* Experience working with databases such as Cassandra, MongoDB or Teradata


* Knowledge of build tools like Maven and source control like Git/SVN.


* Comfortable working in an Agile and collaborative environment.


* Strong written and verbal skills

Preferred qualifications, capabilities, and skills


* Previous financ...