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Data Curation Ai Machine Learning Jobs in Tennessee

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

AI Architect

Nashville, TN ยท On-site

$68.25 - $88.25/hr

... machine learning, and generative AI systems * Establish technical standards, patterns, and best practices for scalable and secure AI development * Guide platform decisions across data, model ...

Machine Learning Tutor

Kingsport, TN ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Murfreesboro, TN ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a Data Curation AI Machine Learning Specialist, and why are they important?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a Data Curation AI/Machine Learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Tennessee? For Data Curation Ai Machine Learning jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Curation Ai Machine Learning jobs in Tennessee look for? The top searched job categories for Data Curation Ai Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Data Curation Ai Machine Learning jobs? Cities in Tennessee with the most Data Curation Ai Machine Learning job openings:

AI - Data Engineer

Creative Artists Agency (CAA)

Nashville, TN โ€ข On-site

$110K - $132K/yr

Full-time

Re-posted 21 days ago


Job description

Job Description
Who We Are
Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, trademark licensing, and philanthropy. Distinguished by its culture of collaboration and exceptional client service, CAA's diverse workforce identifies, innovates, and amplifies opportunities for the people and organizations that shape culture and inspire the world. The trailblazer of the agency business, CAA was the first to build a sports business, create an investment bank, launch a venture fund, found technology start-up companies, establish a philanthropic arm, build a business in China, and form a brand marketing services division, among other innovations. Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2,000 of the world's top athletes in football, baseball, basketball, hockey, soccer, in addition to coaches, on-air broadcasters, and sports personalities and works in the areas of broadcast rights, corporate marketing initiatives, social impact, and sports properties for sales and sponsorship opportunities. Founded in 1975, CAA is headquartered in Los Angeles, and has offices in New York, Nashville, Memphis, Chicago, Miami, London, Munich, Geneva, Stockholm, Shanghai, and Beijing, among other locations globally.
The Role
The AI Engineer is a member of a highly motivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data. In this role, you will design and build intelligent systems that transform complex information into structured knowledge and actionable insights using modern AI, machine learning, and generative approaches to solve complex business problems. You will operate across the full lifecycle, from experimentation and evaluation to deployment and optimization, developing solutions that ingest, interpret, and reason over large volumes of data. The ideal candidate combines strong software engineering fundamentals with hands on experience building applied AI systems that operate reliably in production environments and deliver measurable business impact.
Responsibilities
Development of AI Solutions
  • Design and implement end to end AI workflows for complex data interpretation, knowledge extraction, and reasoning

  • Build systems that convert unstructured content into structured representations

  • Develop and optimize retrieval approaches that combine semantic and lexical search techniques

  • Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases

  • Partner with engineering teams to develop technology infrastructure

  • Optimize systems for latency, cost, and throughput

Evaluation, Reliability, and Quality
  • Design and implement evaluation approaches to assess performance, relevance, and effectiveness of AI solutions

  • Apply techniques to improve consistency, accuracy, and trustworthiness of outputs

  • Implement methods for scoring, explainability, and ongoing quality assurance

  • Monitor deployed solutions and data pipelines for performance, stability, and data quality over time

Data Wrangling:
  • Identify data sources that can be useful to answer business questions

  • Perform experiments on ingested data to evaluate quality and integrity

  • Build data pipelines for ongoing data extraction

Collaboration and Communication
  • Work closely with cross functional team to align data science initiatives with business priorities

  • Partner with leadership to identify and prioritize high impact opportunities for data science applications

  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Qualifications
  • Minium of 6 years building AI, Machine Learning and NLP solutions

  • Minimum 3 years building applied AI/LLM and generative systems in production environments

  • Bachelor's degree in a relevant field such Mathematics, Science, Engineering, or Computer Science. Master's Degree in relevant discipline preferred

  • Strong programming skills in Python and experience building data and AI pipelines

  • Experience with information retrieval, semantic search, or knowledge driven systems

  • Experience with relational, non relational and semantic data stores

  • Strong software engineering fundamentals (APIs, system design, testing, version control)

  • Experience with Natural Language Processing methods and applications preferred

  • Excellent analytical and problem solving skills

  • Demonstrated initiative and ownership of tasks and projects

  • Ability to prioritize, coordinate, and complete tasks to meet deadlines

  • Ability to work effectively both independently and in team environments

  • Ability to present complex problems in simple terms

Location
This role is hybrid, based in our Nashville office.
Compensation
The annual base salary for this position is in the range of $129,000 - $150,000 in Nashville. This position is also eligible for benefits and a discretionary bonus. Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in the role, business sector, and geographic location, among other criteria. Please talk with a CAA Recruiter to learn more.
Creative Artists Agency, LLC (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate on the basis of race (inclusive of traits historically associated with race, including hair texture and protective hairstyles), color, religion, creed, gender or sex (including pregnancy, childbirth, breastfeeding or related medical conditions), national origin, ancestry, age, physical disability, mental disability, medical condition, genetic information, family and medical care leave status, military or veteran status, marital status, family status, sexual orientation, gender identity, gender expression, political affiliation, an employee's or their dependent's reproductive health decision making (e.g., the decision to use or access a particular drug, device or medical service), or any other characteristic protected by applicable law.
The absence of a permanent address is not a bar to employment. The Company does not discriminate against individuals based on housing status, including the absence of a fixed address.
The Company also complies with the Americans with Disabilities Act and applicable state and local laws with regard to providing reasonable accommodation for qualified individuals with disabilities.
CAA does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by CAA to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that CAA will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.