Machine Learning Scientist - Natural Language Processing (NLP)
Are you passionate about the intersection of technology and finance? Do you have a strong background in machine learning and natural language processing? J.P. Morgan Chase & Co. is seeking a highly skilled and motivated individual to join our team as a Machine Learning Scientist specializing in NLP. As a member of our team, you will have the opportunity to shape the future of our digital products and services by leveraging cutting-edge techniques in NLP. This role requires a strong foundation in machine learning, as well as experience in developing and deploying NLP models. If you are excited about using your skills to drive innovation in the financial industry, we encourage you to apply!
- Develop and deploy machine learning models for natural language processing applications in the financial industry.
- Collaborate with cross-functional teams to identify and understand business needs and translate them into NLP solutions.
- Stay up-to-date with the latest advancements in NLP and machine learning techniques, and propose new ideas for improving our digital products and services.
- Conduct research and experiments to improve the performance of existing NLP models and develop new models as needed.
- Work closely with data scientists and engineers to gather, clean, and prepare data for NLP model training.
- Design and implement data pipelines and workflows for efficient training and deployment of NLP models.
- Monitor and evaluate the performance of deployed NLP models, and make necessary improvements to ensure accuracy and reliability.
- Document and present findings, insights, and recommendations to stakeholders and team members.
- Collaborate with other machine learning scientists and data scientists to share knowledge, best practices, and collaborate on projects.
- Stay current with industry trends and developments in NLP and machine learning, and proactively identify opportunities for innovation and improvement within the organization.
Strong Background In Computer Science And Mathematics: A Successful Candidate For A Machine Learning Scientist - Nlp Role At J.p. Morgan Chase & Co. Should Have A Solid Foundation In Computer Science And Mathematics, Including Knowledge Of Algorithms, Data Structures, And Statistics.
Extensive Experience With Nlp Techniques And Tools: J.p. Morgan Chase & Co. Is Seeking A Candidate With A Deep Understanding Of Nlp Techniques And Tools, Such As Word Embeddings, Sentiment Analysis, And Language Models, And Experience Applying Them To Real-World Problems.
Proficiency In Programming Languages And Frameworks: The Ideal Candidate Should Be Proficient In Programming Languages Commonly Used In Nlp, Such As Python, Java, And R, As Well As Frameworks Like Tensorflow, Pytorch, And Nltk.
Experience With Large Datasets And Big Data Technologies: As A Financial Services Company, J.p. Morgan Chase & Co. Deals With Large Volumes Of Data. A Machine Learning Scientist - Nlp Should Have Experience Working With Big Data Technologies, Such As Hadoop And Spark, And Be Comfortable Handling And Analyzing Large Datasets.
Strong Communication And Collaboration Skills: In Addition To Technical Skills, J.p. Morgan Chase & Co. Is Looking For A Candidate Who Can Effectively Communicate Complex Ideas And Collaborate With Cross-Functional Teams. This Includes The Ability To Explain Technical Concepts To Non-Technical Stakeholders And Work Effectively With Data Scientists, Engineers, And Business Analysts.
Machine Learning
Deep Learning
Data Mining
Algorithm development
Statistical modeling
Information retrieval
feature engineering
Sentiment analysis
Natural Language Processing (NLP)
Data
Text Classification
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Machine Learning Scientist - Natural Language Processing (NLP) in Tampa, FL, USA is between $96,000 - $130,000 per year. This salary range can vary depending on the specific company, years of experience, and skills of the individual. Additionally, factors such as bonuses, benefits, and location can also affect the salary range. Overall, this is a highly competitive salary range in the field of machine learning and NLP.
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JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase is ranked by S&P Global as the largest bank in the United States and the sixth largest bank in the world by total assets, with total assets of US$2.687 trillion.
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