The right talent can transform your business—and we make that happen. At Collabera, we go beyond staffing to deliver strategic workforce solutions that drive growth, innovation, and agility. With deep industry expertise, a global talent network, and a people-first approach, we connect you with professionals who don’t just fit the role but elevate your business. Partner with us and build a workforce that powers success.
AI Data Scientist
Contract: Charlotte, North Carolina, US span>
Salary Range: 65.00 - 70.00 | Per Hour
Job Code: 366628
End Date: 2026-02-07
Days Left: 13 days, 0 hours left
Job Title: AI Data Scientist
Location: Charlotte, NC
Work Arrangement: Hybrid
Client Industry: Financial Services
Duration: 12 Months Contract
Schedule: Standard Hours(8:00 AM to 5 PM)
About the Role
- We are seeking a highly skilled Data Engineer with expertise in Python, PySpark, and Scala to join our team.
- The ideal candidate will have experience in developing advanced technologies such as RAG LLM and AI/ML/GenAI Lifecycle Management.
- This role is not for users of these technologies but for those who have hands-on experience in their development.
Responsibilities
- Develop and code solutions, performing unit tests to meet defined acceptance criteria and compliance requirements.
- Utilize multiple architectural components across data, application, and business in the design and development of client requirements.
- Engage in Continuous Integration and Continuous Development (CI-CD) activities.
- Contribute to story refinement and definition of requirements.
- Participate in estimating the work necessary to realize a story/requirement through the delivery lifecycle.
Education Qualification
- A degree in Computer Science, Information Technology, or a related field is preferred.
Required Skills
- Expert-level Python development skills.
- Hands-on experience in application development with technologies such as MongoDB, Redis, Angular/React Frameworks, and Containerization.
- Experience with AI/ML/GenAI Lifecycle Management and Development, including building frameworks using MLFlow, KubeFlow, Fine-Tuning techniques, and Inference Frameworks.
- Proficiency in building API-based applications leveraging FAST API services, JWT Integration, and API Gateway.
- Experience working in large teams that collaboratively develop on a shared multi-repo codebase using IDEs like VS Code, Continuous Integration (CI), Continuous Deployment (CD), and Continuous Testing.
- Hands-on DevOps experience with enterprise development tools such as Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory), and Deployment (Ansible).
Desired Qualifications
- Experience in developing RAG and MCP modules.
- Proficiency in Spark and Scala is a plus.
Day To Day Responsbilities:
- Develop and code solutions, performing unit tests to meet defined acceptance criteria and compliance requirements.
- Utilize multiple architectural components across data, application, and business in the design and development of client requirements.
- Engage in Continuous Integration and Continuous Development (CI-CD) activities.
- Contribute to story refinement and definition of requirements.
- Participate in estimating the work necessary to realize a story/requirement through the delivery lifecycle.
Must Have:
- Expert-level Python development skills.
- Hands-on experience in application development with technologies such as MongoDB, Redis, Angular/React Frameworks, and Containerization.
- Experience with AI/ML/GenAI Lifecycle Management and Development, including building frameworks using MLFlow, KubeFlow, Fine-Tuning techniques, and Inference Frameworks.
- Proficiency in building API-based applications leveraging FAST API services, JWT Integration, and API Gateway.
- Experience working in large teams that collaboratively develop on a shared multi-repo codebase using IDEs like VS Code, Continuous Integration (CI), Continuous Deployment (CD), and Continuous Testing.
- Hands-on DevOps experience with enterprise development tools such as Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory), and Deployment (Ansible).
- Experience in developing RAG and MCP modules.
- Proficiency in Spark and Scala is a plus.
Compensation
- Hourly Rate: $65 - 70 per hour
This reflects base compensation and may vary based on candidate qualifications.
Benefits
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.
About Us
At Collabera, we don’t just offer jobs—we build careers. As a global leader in talent solutions, we provide opportunities to work with top organizations, cutting-edge technologies, and dynamic teams. Our culture thrives on innovation, collaboration, and a commitment to excellence. With continuous learning, career growth, and a people-first approach, we empower you to achieve your full potential. Join us and be part of a company that values passion, integrity, and making an impact.
Job Requirement
- AI/ML
- Python
- Gen AI
Reach Out to a Recruiter
- Recruiter
- Phone
- Dharamveer Kushwah
- dharamveer.kushwah@collabera.com