AI Engineer Job Overview
Cyber Infrastructure (CIS)
•
Atlanta, GA
0
0
0
0
Not Applicable
Posted April 3, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Design, develop, and implement AI/ML algorithms and models to solve business challenges.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
- Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
- Develop data pipelines and preprocessing methods for model training and deployment.
- Monitor, evaluate, and improve the performance of AI models and systems.
- Conduct experiments to validate hypotheses and enhance AI system capabilities.
- Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
- Create technical documentation for AI models and workflows.
Commitments
2 years - 6 years
Work Location
Atlanta - Georgia
Working Model
Work from Office.
You should be open to working on-site at our locations or client sites.
Remote work may be available - apply now and check with the recruiter.
Apply from Locations
New York NY / Los Angeles CA / Chicago IL / Houston TX / Phoenix AZ / Philadelphia PA / San Antonio TX / San Diego CA / Dallas TX / Jacksonville FL / Austin TX / Fort Worth TX / San Jose CA / Columbus OH / Charlotte NC
Not Met Priorities
What still needs stronger evidence
Requirements
- 2 years - 6 years
- Create technical documentation for AI models and workflows.
- Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, R, or Java.
- Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
- Strong understanding of data structures, algorithms, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
- Knowledge of MLOps tools and practices for model deployment and monitoring.
- Ability to work with large datasets and build scalable AI solutions.
- Strong problem-solving and critical-thinking skills.
- Excellent communication and collaboration skills.
- Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
- Exposure to big data technologies (e.g., Hadoop, Spark).
- Knowledge of model interpretability and explainability methods.
Education
- (Required) – Educational Qualification(s) Required
- (Not required) – BE / ME (CS / IT) or equivalent
Share On
Position
AI Engineer
Department
Artificial Intelligence Job - AI Engineer
Skills Required
Artificial Intelligence
Experience Required
2 years - 6 years
Educational Qualification(s) Required
BE / ME (CS / IT) or equivalent
Overview of Job
We are seeking a skilled and passionate AI Engineer with 2 to 6 years of experience to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning technologies. You will work on building intelligent systems and solutions that drive business outcomes, ranging from predictive models to real-time AI-driven applications.
Duties & Responsibilities
Design, develop, and implement AI/ML algorithms and models to solve business challenges.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
Develop data pipelines and preprocessing methods for model training and deployment.
Monitor, evaluate, and improve the performance of AI models and systems.
Conduct experiments to validate hypotheses and enhance AI system capabilities.
Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
Create technical documentation for AI models and workflows.
Required Skills & Qualifications
Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in programming languages like Python, R, or Java.
Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
Strong understanding of data structures, algorithms, and statistics.
Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
Knowledge of MLOps tools and practices for model deployment and monitoring.
Ability to work with large datasets and build scalable AI solutions.
Strong problem-solving and critical-thinking skills.
Excellent communication and collaboration skills.
Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
Exposure to big data technologies (e.g., Hadoop, Spark).
Knowledge of model interpretability and explainability methods.
Work Location
Atlanta - Georgia
Working Model
Work from Office.
You should be open to working on-site at our locations or client sites. Remote work may be available - apply now and check with the recruiter.
Apply from Locations
New York NY / Los Angeles CA / Chicago IL / Houston TX / Phoenix AZ / Philadelphia PA / San Antonio TX / San Diego CA / Dallas TX / Jacksonville FL / Austin TX / Fort Worth TX / San Jose CA / Columbus OH / Charlotte NC
Apply Now
Position
AI Engineer
Department
Artificial Intelligence Job - AI Engineer
Skills Required
Artificial Intelligence
Experience Required
2 years - 6 years
Educational Qualification(s) Required
BE / ME (CS / IT) or equivalent
Overview of Job
We are seeking a skilled and passionate AI Engineer with 2 to 6 years of experience to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning technologies. You will work on building intelligent systems and solutions that drive business outcomes, ranging from predictive models to real-time AI-driven applications.
Duties & Responsibilities
Design, develop, and implement AI/ML algorithms and models to solve business challenges.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
Research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning technologies.
Develop data pipelines and preprocessing methods for model training and deployment.
Monitor, evaluate, and improve the performance of AI models and systems.
Conduct experiments to validate hypotheses and enhance AI system capabilities.
Collaborate with data scientists, software engineers, and product managers to deploy AI solutions in production environments.
Create technical documentation for AI models and workflows.
Required Skills & Qualifications
Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in programming languages like Python, R, or Java.
Hands-on experience with deep learning models, NLP, computer vision, or reinforcement learning.
Strong understanding of data structures, algorithms, and statistics.
Experience with cloud platforms (AWS, GCP, Azure) for deploying AI models.
Knowledge of MLOps tools and practices for model deployment and monitoring.
Ability to work with large datasets and build scalable AI solutions.
Strong problem-solving and critical-thinking skills.
Excellent communication and collaboration skills.
Experience in AI-driven products or solutions in industries like healthcare, finance, retail, etc.
Exposure to big data technologies (e.g., Hadoop, Spark).
Knowledge of model interpretability and explainability methods.
Work Location
Atlanta - Georgia
Working Model
Work from Office.
You should be open to working on-site at our locations or client sites. Remote work may be available - apply now and check with the recruiter.
Apply from Locations
New York NY / Los Angeles CA / Chicago IL / Houston TX / Phoenix AZ / Philadelphia PA / San Antonio TX / San Diego CA / Dallas TX / Jacksonville FL / Austin TX / Fort Worth TX / San Jose CA / Columbus OH / Charlotte NC
Apply Now