This is a unique opportunity to apply your skills and have a direct impact on global business.

As a Software Engineer III at JPMorgan Chase within Shared Services Tech in Commercial banking business, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will need to leverage your strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs, and experience in working with massive amounts of data to build systems that reach JP Morgan scale. You must have a strong curiosity for data and a proven track record of successfully applying rigorous scientific methods with proficiency in ML Engineering and DevOps capabilities.

Job responsibilities

• Build and train production grade ML models on large-scale datasets to solve various business use cases for Commercial Banking.
• Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.
• Use Deep Learning frameworks like CNN, RNN, LSTM and Attention for solving use cases requiring semantic search, named entity resolution, forecasting, anomaly detection among many other techniques
• Build ML models across Public and Private Cloud environments including container-based Kubernetes environments.
• Develop end-to-end ML pipelines necessary to transform existing applications and business processes into true AI systems.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
• You will collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.

Required qualifications, capabilities, and skills

• Advanced Degree in field of Computer Science, Data Science or equivalent discipline
• Minimum 3+ years of working experience as a hands-on data scientist is must
• Strong communication skills along with significant experience of managing stakeholder of diverse background
• Hands on expertise with Python, PySpark, DL frameworks like TensorFlow/PyTorch over GPU is preferred, BERT, SBERT,etc
• Experience in designing and building highly scalable distributed ML models in production
• Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite)
• Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization)

Preferred qualifications, capabilities, and skills

• Experience, as a Data Science lead, in driving projects end to end is preferred
• Experience in large scale Machine Learning system design is preferred
• Experience working with end-to-end pipelines consisting of Cloud services is preferred
• Experience with AWS ML ecosystem (i.e. Sagemaker, EMR etc.) is preferred

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.