A/AI Research Engineer Sr. Manager
at LOCKHEED MARTIN CORPORATION
Camden, Arkansas, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 20 Sep, 2024 | Not Specified | 20 Jun, 2024 | 10 year(s) or above | Java,Interpersonal Skills,Business Workflows,Validation,Communication Skills,Models,Predictive Modeling,Model Selection,Programming Languages,Matlab,Learning Techniques,R,Azure,Manufacturing,Data Preparation | No | No |
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Description:
DESCRIPTION:
Responsibilities of this role will include:
- Day-to-day tasking and management of the MFC Data and Operations Technology team. Including managerial tasks such as travel approval, time approval, performance reviews, etc.
- Identifying new business opportunities for the team.
- Managing relationships with stakeholders and potential stakeholders.
- Understanding business needs and translating them into data problems.
- Helping to architect solutions to data problems in the form of data products.
- Tracking projects and driving work on them through to completion.
- Building business processes for more efficient operation of the team.
- Implementing best technical practices from the fields of machine learning and software engineering.
- Identifying tooling gaps on the team and working to fill those gaps.
- Hiring and mentoring team members.
- Helping to plan the strategic vision of the team.
- Spreading best practices of the team to other data science teams at Lockheed Martin by creating knowledge materials, presenting those materials, and engaging with other data science leaders on those materials.
Domestic travel will be required.
BASIC QUALIFICATIONS:
- 10+ years of professional experience applying statistics, predictive modeling, and machine learning techniques to solve business problems
- Experience leading analytics projects from problem definition and data discovery, to data preparation, feature engineering, model selection, validation, and deployment
- Excellent verbal/written communication skills
- Ability to effectively present findings and make recommendations to technical and non-technical business stakeholders in a clear and compelling manner
- Demonstrated creativity and innovation in identifying valuable ways of incorporating machine learning into business workflows and processes
- Functional or technical leadership experience
- Project management experience
- Superlative organizational and interpersonal skills
- Experience with one or more programming languages (e.g. Python, R, Java, MATLAB, etc.)
- The ability to stay updated on new technologies in the rapidly evolving field of AI
DESIRED SKILLS:
- Experience with the design, implementation, and evaluation of models, agents and software prototypes for real world AI
- Bridge the gap between fundamental research and products by addressing research questions arising in real world problems and integrating novel research into applications.
- Hands-on experience building with generative AI models and developing full-stack applications leveraging LLMs and/or multi-modal models
- Ability to design and conduct experiments to evaluate AI models
- Knowledge of data engineering best practices and cloud computing technologies (preferably AWS or Azure).
- Experience with or expertise in manufacturing and/or engineering processes.
- Knowledge of industry best practices for developing and deploying AI systems.
EXPERIENCE LEVEL:
Experienced Professional
Responsibilities:
- Day-to-day tasking and management of the MFC Data and Operations Technology team. Including managerial tasks such as travel approval, time approval, performance reviews, etc.
- Identifying new business opportunities for the team.
- Managing relationships with stakeholders and potential stakeholders.
- Understanding business needs and translating them into data problems.
- Helping to architect solutions to data problems in the form of data products.
- Tracking projects and driving work on them through to completion.
- Building business processes for more efficient operation of the team.
- Implementing best technical practices from the fields of machine learning and software engineering.
- Identifying tooling gaps on the team and working to fill those gaps.
- Hiring and mentoring team members.
- Helping to plan the strategic vision of the team.
- Spreading best practices of the team to other data science teams at Lockheed Martin by creating knowledge materials, presenting those materials, and engaging with other data science leaders on those materials
REQUIREMENT SUMMARY
Min:10.0Max:15.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Camden, AR, USA