Location: Alpharetta, GA
Employment Type: Full-time
We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate will work closely with data scientists, software engineers, and business stakeholders to deliver impactful AI products.
Design, develop, and deploy machine learning models and AI solutions
Build end-to-end ML pipelines (data ingestion, training, validation, deployment)
Work with structured and unstructured data from multiple sources
Optimize model performance, scalability, and reliability
Collaborate with cross-functional teams to translate business needs into ML solutions
Implement MLOps best practices for model monitoring and retraining
Stay updated with the latest AI/ML research and industry trends
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Hands-on experience with machine learning algorithms, deep learning, NLP, or computer vision
Experience with SQL/NoSQL databases
Strong understanding of data structures, algorithms, and statistics
Experience working with REST APIs and model deployment
Experience with cloud platforms (AWS, GCP, or Azure)
Knowledge of Docker, Kubernetes, and CI/CD pipelines
Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker)
Experience in LLMs, GenAI, or NLP use cases
Prior experience in fintech, healthcare, or enterprise-scale systems
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Ability to work independently and in fast-paced environments