Ai/ML Engineer

AI/ML Engineer

Location: Alpharetta GA

Interview type: final discussion- Face to Face

Entry Level (1–5 years) Mandatory Skills: Python, TensorFlow/PyTorch basics, Understanding of ML algorithms

Preferred Skills: Exposure to data preprocessing tools (Pandas, NumPy), Basic cloud AI services

Mid Level (5–12 years) Mandatory Skills: Model development deployment, REST API integration for ML models

Preferred Skills: Experience with NLP, deep learning, Cloud ML platforms (AWS SageMaker, Azure AI)

Expert (12+ years) Mandatory Skills: Designing scalable ML systems, Advanced statistical modeling

Preferred Skills: Leadership in AI strategy, Cutting-edge frameworks (Transformers, LLMs)

Summary of Common Skills Across Roles

Common Mandatory Skills: Java Spring Boot, Python, SQL Server DB2, REST APIs, Version control (Git), Basic DevOps (CI/CD)

Common Preferred Skills: Kafka, ElasticSearch, Cloud platforms (AWS/Azure/GCP), Containerization (Docker, Kubernetes), AI/ML exposure for senior roles

AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.

Note: SubCon Role - This will be a Contract role on an Hourly Pay Rate

This is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator.