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Learning And Development Jobs in Atlanta, TX (NOW HIRING)

Conga

Staff Data Scientist (AI/ML)

Boston, TX · On-site

As a Staff Data Scientist, you will be a key technical leader responsible for shaping the strategy, development, and deployment of scalable, reliable, and innovative AI/GenAI and machine learning ...

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$12

$35

$72

How much do learning and development jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for learning and development in Atlanta, TX is $35.33, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $60.05 per hour, depending on experience, location, and employer.

What is learning and development (L&D)?

Learning and development (L&D) refers to the process within organizations that focuses on improving employees’ skills, knowledge, and competencies. L&D involves designing, delivering, and evaluating training programs, workshops, and other educational activities to help employees perform better in their current roles and prepare for future responsibilities. The goal is to foster professional growth, enhance job satisfaction, and contribute to organizational success. L&D can include onboarding, technical training, leadership development, and ongoing education tailored to business needs.

How does a learning and development professional typically collaborate with other departments to identify training needs?

Learning and Development professionals often work closely with managers and team leads across various departments to assess skill gaps and align training initiatives with organizational goals. This collaboration usually involves conducting needs assessments, gathering feedback through surveys or interviews, and reviewing performance data to design targeted programs. Effective communication and relationship-building skills are essential, as L&D professionals must balance the needs of different teams while ensuring training solutions are practical and impactful.

What are the key skills and qualifications needed to thrive as a learning and development professional, and why are they important?

To thrive as a Learning and Development professional, you need expertise in instructional design, adult learning theory, and strong facilitation skills, often supported by a degree in education, human resources, or related fields. Familiarity with learning management systems (LMS), e-learning authoring tools, and relevant certifications such as CPLP or SHRM-CP is highly valuable. Excellent communication, creativity, and stakeholder management skills help professionals engage learners and drive organizational development. These competencies ensure effective training initiatives that support talent growth and align learning strategies with business goals.

What is the difference between Learning And Development vs Training Coordinator?

AspectLearning And DevelopmentTraining Coordinator
CredentialsOften requires certifications in L&D, HR, or related fieldsTypically requires HR or administrative certifications
Work EnvironmentDesigning programs, strategic planning, working with managementOrganizing training sessions, scheduling, logistics
Employer & Industry UsageUsed across corporate, education, and nonprofit sectors for strategic growthCommon in corporate settings for operational training
Search & Comparison IntentFocuses on strategic development rolesFocuses on logistical and operational training roles

Learning And Development professionals focus on creating strategic training programs to enhance employee skills and organizational growth. Training Coordinators handle the logistics and administration of training sessions. While both roles support employee development, L&D is more strategic and design-oriented, whereas Training Coordinators focus on execution and logistics.

What is a career in learning and development?

A career in learning and development involves designing, implementing, and managing training programs to improve employee skills and organizational performance. Professionals in this field often work as trainers, instructional designers, or L&D specialists, utilizing tools like learning management systems and requiring strong communication and assessment skills.

What is the work of learning and development?

Learning and Development professionals design, implement, and manage training programs to improve employee skills and knowledge. They assess organizational needs, create educational content, and evaluate training effectiveness to support workforce growth and performance.

What qualifications do you need to work in learning and development?

To work in learning and development, candidates typically need a bachelor's degree in education, human resources, or a related field. Relevant skills include strong communication, instructional design, and familiarity with learning management systems (LMS); certifications like CPLP or ATD can enhance prospects.

What job categories do people searching Learning And Development jobs in Atlanta, TX look for?

The top searched job categories for Learning And Development jobs in Atlanta, TX are:

What cities near Atlanta, TX are hiring for Learning And Development jobs?

Cities near Atlanta, TX with the most Learning And Development job openings:

Learning And Development jobs near you
Infographic showing various Learning And Development job openings in Atlanta, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $73,496 per year, or $35.3 per hour.

Staff Data Scientist (AI/ML)

Conga

Boston, TX • On-site

Full-time

Posted 26 days ago

Key responsibilities

  • Lead the development, deployment, and scaling of AI/GenAI and machine learning solutions.

  • Define and drive the data science and AI/GenAI vision, strategy, and technical direction.

  • Take ownership of high-impact initiatives from problem formulation to model deployment and monitoring.

Job description

Job Title: Staff Software Engineer, AI

Locations: Houston, TX or Boston, MA (Hybrid 2 Days in Office)

Reports to: VP, AI Engineering, AI Platform

A quick snapshot...

As a Staff Data Scientist, you will be a key technical leader responsible for shaping the strategy, development, and deployment of scalable, reliable, and innovative AI/GenAI and machine learning solutions. You will lead high-priority initiatives, set technical direction for data science programs, and ensure alignment with organizational goals. This role demands a high degree of expertise in machine learning, statistical modeling, and applied AI, along with strategic thinking and the ability to collaborate effectively across diverse teams while mentoring and elevating others to meet a very high technical bar. 

Why it's a big deal...

This is one of the critical roles in the project, where you will be an expert in product development, a good team player, and will lead and mentor your team members. We believe in using the best tools for the task at hand so the ability and desire to learn new programming languages and technologies is necessary. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. This role determines the root cause for the most complex software issues and develops practical, efficient, and permanent technical solutions.

Are you the person we're looking for?

Educational Background. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field; Ph.D. is preferred but not required. 

Experience. 10+ years of professional experience in data science, machine learning, or AI, including 5+ years working on AI/ML or GenAI solutions. Proven track record of developing, deploying, and scaling production-grade machine learning models and data-driven solutions. 

Technical Expertise: 

  • Deep expertise in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, and LangChain. 
  • Advanced knowledge of machine learning algorithms, statistical modeling, experimentation methodologies, generative models, and LLMs. 
  • Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern MLOps practices. 
  • Strong understanding of feature engineering, model evaluation, causal inference, data pipelines, and database systems (SQL/NoSQL). 

Leadership Skills. Demonstrated ability to lead complex data science initiatives, influence cross-functional teams, and mentor data scientists at all levels. 

Problem-Solving Skills. Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful, data-driven solutions. 

Collaboration. Excellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders. 

Strategic Technical Leadership: 

  • Define and drive the data science and AI/GenAI vision and roadmap, aligning with company objectives and future growth. 
  • Provide technical leadership for complex, large-scale machine learning and AI initiatives, ensuring scalability, performance, accuracy, and business impact. 
  • Act as a thought leader in AI, machine learning, and data science, influencing cross-functional decisions and long-term strategies. 

Advanced AI Product Development: 

  • Lead the development of state-of-the-art generative AI solutions, leveraging advanced techniques such as transformer models, diffusion models, predictive modeling, and multi-modal architectures. 
  • Drive innovation by exploring and integrating emerging AI technologies, machine learning methodologies, and data science best practices. 

Mentorship & Team Growth: 

  • Mentor data scientists and machine learning practitioners, fostering a culture of continuous learning and technical excellence. 
  • Elevate the team's capabilities through coaching, training, and providing guidance on modeling approaches, experimentation, statistical rigor, and complex problem-solving. 

End-to-End Ownership: 

  • Take full ownership of high-impact initiatives, from problem formulation and experimental design to model development, deployment, and monitoring in production. 
  • Ensure the successful delivery of projects with a focus on measurable business outcomes, quality, timelines, and alignment with organizational goals. 

Collaboration & Influence: 

  • Collaborate with cross-functional teams, including product managers, software engineers, analytics teams, and engineering leadership, to deliver cohesive and impactful solutions. 
  • Act as a trusted advisor to stakeholders, clearly articulating model performance, technical tradeoffs, insights, and business impact. 

Operational Excellence: 

  • Champion best practices for machine learning development, experimentation, model governance, and MLOps, ensuring robust and reliable solutions. 
  • Monitor and improve the performance, quality, and reliability of deployed models, conducting root cause analyses and driving preventive measures for long-term success. 

Innovation & Continuous Improvement: 

  • Advocate for and lead the adoption of new tools, frameworks, and methodologies to enhance team productivity and analytical capabilities. 
  • Stay at the forefront of AI/GenAI and machine learning research, driving thought leadership and contributing to the AI community through publications or speaking engagements. 

Here's what will give you an edge...

AI/ML Expertise. Experience with multi-modal models, reinforcement learning, causal inference, experimentation platforms, and responsible AI principles. 

Cloud & Infrastructure. Advanced knowledge of GCP technologies such as VertexAI, BigQuery, DataFlow, and large-scale data processing platforms. 

Thought Leadership. Contributions to the AI/ML or data science community through publications, open-source projects, or speaking engagements. 

Agile Experience. Familiarity with agile methodologies and working in a cross-functional product development environment. 

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