AI/ML Engineer (Atlanta)
TK Elevator Corporation — Atlanta, Georgia, United States
What we expect
The first 3 letters in workplace safety are Y-O-U!
TK Elevator is currently seeking an experienced AI/ML Engineer located in Atlanta, GA.
This role will play a pivotal role in designing, developing, and deploying AI/ML solutions to drive business insights, improve decision-making, and enhance customer experience through advanced machine learning and Generative AI techniques.
ESSENTIAL JOB FUCTIONS:
- Develop and deploy advanced machine learning models and AI-driven solutions to address business challenges across departments.
- Design and implement generative AI and NLP applications (e.g., chatbots) to enhance business operations and productivity.
- Build and maintain scalable data pipelines for training and deploying AI/ML models, ensuring seamless integration with business operations.
- Collaborate with stakeholders to identify use cases and translate business problems into AI/ML-driven technical solutions.
- Customize Salesforce AI tools (e.g., Salesforce Einstein) to optimize predictive analytics and automation across sales, service, and marketing teams.
- Continuously improve model performance by monitoring, retraining, and refining models based on evolving data and business needs.
- Leverage Azure AI services, Azure OpenAI, Databricks, Salesforce AI, and other data engineering tools to develop and deploy scalable AI/ML solutions.
- Contribute to documentation, knowledge sharing, and best practices for AI/ML adoption across the organization.
- Create visualizations of findings and build analytics products to effectively communicate insights and enable informed decision-making.
Who we are looking for
EDUCATION & EXPERIENCE:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- Master's in Data Science & Analytics, preferred.
- 2-3 years of hands-on experience in building and deploying AI/ML solutions in production environments.
- Strong proficiency in Python and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow).
- Solid understanding of statistical modeling and machine learning algorithms.
- Experience with Azure AI services, Azure OpenAI, and Databricks for model deployment and data integration.
- Familiarity with data engineering tools such as Spark, Azure Databricks and Azure Data Factory (ADF), desired.
- Familiarity with Salesforce Einstein AI and its integration with business systems.
- Strong understanding of MLOps practices, including CI/CD pipelines for ML model deployment.
- Experience with visualization tools such as Power BI or Tableau.
- Strong problem-solving skills, with a focus on translating technical insights into business recommendations.
- Excellent communication skills, with the ability to work with both technical and non-technical stakeholders.
What we offer
The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type and years of experience within the industry, education, office location, etc.
Provided they meet all eligibility requirement under the applicable plan documents, employees will be offered medical, dental, vision, flexible spending accounts, supplemental medical plans, basic life insurance, AD&D, short term and long term disability, optional life and AD&D, optional spouse and dependent life insurance, dependent life insurance, flexible spend account, health savings account, identity theft monitoring, pet insurance, Employee Assistance Program, Wellness program, and tuition reimbursement. Employees also will be able to enroll in our company’s 401k plan. Relocation assistance offered for candidates relocating more than 50 miles for this position.
Employees will receive 15 days of paid time off (PTO) per year. Employees will enjoy 11 paid holidays throughout the calendar year and 5 paid days of sick leave. Up to six weeks of paid parental leave will be available for use after successful completion of 90-days of full-time employment. Eligibility requirements for these benefits will be controlled by applicable plan documents.
This is intended to provide a general description of benefits and other compensation and is not a substitute for applicable plan documents or company policies.
Additional information
TK Elevator is an equal opportunity employer and committed to diversity. Qualified applicants will receive consideration for employment without regard to age, gender, race, color, religion, sexual orientation, gender identity, national origin, disability, and veteran status or any other protected status required by applicable law.
Applicants with disabilities who require reasonable accommodation in connection with the application process are encouraged to email us directly at ElevatorJobs.ams@tkelevator.com or call 1-844-427-5461.
Contact
To apply to a position, please click on the Apply Now button.
For any additional questions or job specific requests, please use the contact
below and include the Job Requisition Number as a reference.
Elevatorjobs.AMS@tkelevator.com
Job details
| Posting date: | 2025/09/05 |
|---|---|
| Experience level: | Experienced professionals |
| Contract limitation: | Permanent, Full Time |
| Work Modality: | On Site |
| Job family: | Information Technology |
| Industry: | Engineering & urban mobility |
| Job number: | US_901745_ET_TKELECP12473 |
Application deadline: as long as the job is listed on our career page, we are looking for suitable candidates (all genders welcome). We are looking forward to receiving your application.
Unsolicited Submissions from Recruitment Agencies and Third Parties
TK Elevator does not accept candidate submissions, applications, or profiles from recruitment agencies, search firms, or other third parties unless a written agreement has been executed in advance by an authorized representative of TK Elevator.
