Top 5 Intellect ai Jobs

Data Scientist
Intellect Solutions LLC —Scott AFB, IL
- Bachelor of Science
- Analysis skills
- Bachelor's degree
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Data Intellect —New York, NY
- Contract
- System design
- Java
- Continuous improvement
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Member of Technical Staff - Sandbox Platform
Prime Intellect —San Francisco, CA
- $150,000 - $300,000 a year
- Full-time
- Hybrid work
- System design
- Senior level
- AI
Solutions Architect - AI Infrastructure
Prime Intellect —San Francisco, CA
- Full-time
- DevOps
- Senior level
- 2 years
Technical Account Manager - AI Infrastructure
Prime Intellect —San Francisco, CA
- $160,000 - $200,000 a year
- Full-time
- Azure
- AWS
- Senior level

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Data Scientist

Intellect Solutions LLC -
Scott AFB, IL

Quick Apply

Job Details

Qualifications

AI models
Data model design
Statistics
Data visualization software proficiency
Data Integration (Data management)
Predictive modeling analysis
Qualitative data analysis
Data modeling projects
Data migration
Implementing cloud migration projects
Business intelligence report generation
Process design
Process improvement
AI platforms (beyond public GPTs)
Computational framework
Schema design
Taxonomy
Machine learning cloud services
Machine intelligence
UX implementation
Data classification
Model deployment
Improving predictive model accuracy
APIs
Model training
Machine learning libraries
Research & development
Model evaluation
Machine learning frameworks
Data visualization projects

Full Job Description

Job Description

Intellect Solutions LLC, an Economically Disadvantaged Woman Owned Small Business (EDWOSB) and Hub Zone Certified Firm is seeking a Data Scientist to drive mission analytics and visualization initiatives used in the USTRANSCOM change and knowledge management processes. As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and conduct data modeling, data management and data analytics while utilizing machine-learning models, workflows and tools. You will also lead or assist is developing and implementing systems engineering, process and technology solutions that allow rapid association of broadly sourced data sets in a graphically interactive user-space to facilitate information sharing and decision-making. The ideal candidate must be passionate about solving problems, discovering insights, and support decisions using data.

Required Skills

U.S. Citizenship, required Active Secret Clearance.
Must be a lifelong learner, willing to share and grow the knowledge of those around them.
Strong qualitative and quantitative analysis skills.
Provide technology, activity, and scale agnostic solutions to establish and operationalize insights-driven decision-making at the command level and align outputs to command operational requirements through web-based systems.
Conduct data modeling and management to assemble data structures and lineage
Develop analytic models and tools using a variety of commercial-off-the-shelf and open source capabilities like Jupyter or Zeppelin notebooks and exposed application programing interfaces, as well as business intelligence, and visualization tools such as Tableau, Qlik, and COGNOS
Research, develop, and apply statistical and machine learning model workflows and tools such as Argo and Kubeflow Pipelines to build, train, and test new machine learning models, such as ModelDB to carry out model tuning, data and model provenance, and storing trained models
Deploy, monitor, and update models in production, and languages and frameworks such as Python, R, Julia, Scala, and several legacy deep-learning libraries such as Theao, Caffe2, and Torch
Assist the command with cloud implementations, including assessment, application rationalization, data migration and management, and machine learning and artificial intelligence analytics in a cloud environment
Recommend improvements to associated workflows as defined by the customer
Create user space that is primarily enabled by automatically accumulated, compiled, processed, and correlated information of value
Design and create user experience for an intuitive output consisting of ‘fewest clicks to an answer’ while iteratively creating capacity for ‘minimum viable capability’ with extensibility as a core tenant
Connect data sources across an organization, align datasets to a unified schema, consolidate a unified dataset through entity de-duplication and mastering when necessary, and classify records into a taxonomy for downstream analysis

Required Experience

BS/BA in related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of individual may be substituted)
Minimum of 2-3 years professional work experience providing data analytics services.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Quick Apply

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Data Scientist

Field Engineer. AI Solutions.

Member of Technical Staff - Sandbox Platform

Solutions Architect - AI Infrastructure

Technical Account Manager - AI Infrastructure

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