Roles and Responsibilities:
- Design, develop, and deploy machine learning models and algorithms under guidance from senior team members
- Develop, verify, and validate analytics to address customer needs and opportunities.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
- Ensure efficient data retrieval and augmentation processes to support LLM training and inference.
- Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value.
- Perform exploratory and targeted data analyses using descriptive statistics and other methods.
- Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Communicate methods, findings, and hypotheses with stakeholders.
Minimum Qualifications:
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with a minimum of 2+ years of experience
- 2 years of proficiency in Python.
- Familiarity with statistical machine learning techniques as applied to business problems
- Strong analytical and problem-solving skills.
- Strong communication and collaboration skills.
- Note: Military experience is equivalent to professional experience
Eligibility Requirement:
- Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
Desired Characteristics:
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
- Experience with handling unstructured data, including images, videos, and text
- Ability to work in a fast-paced, dynamic environment.
- Experience with data preprocessing and augmentation tools.
- Demonstrated experience applying critical thinking and problem-solving
- Demonstrated experience working in team settings in various roles
- Strong presentation and communications skills
Note:
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.
This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.
This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).
Additional InformationGE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
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