Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Atlanta, GA, United States
Posted
21 hours ago
DockerMicroservicesSQLAWSMLOpsMachine LearningScikit-learnSnowflakeAzureDatabricksGenerative AIGoogle CloudKubernetesPyTorchPythonTensorFlow
Job Description
AI/ML Engineer
Location: Atlanta, GA / Chicago, IL — Hybrid
Duration: Contract
Job Description:
Seeking an experienced AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions for enterprise applications. Strong hands-on experience with Python, Machine Learning, cloud platforms, data processing, and MLOps is required.
Responsibilities:
- Develop, train, deploy, and monitor ML models and pipelines.
- Perform data preprocessing, feature engineering, model evaluation, and optimization.
- Integrate AI/ML solutions with enterprise applications using APIs and Microservices.
- Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
- Work with structured/unstructured data and collaborate with Data Scientists, Data Engineers, and business teams.
- Troubleshoot model performance, data quality, and model/data drift issues.
Basic Qualifications:
- 5+ years of experience in Python, Data Science, or ML Engineering.
- 3+ years with Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- Strong experience with SQL, data processing, feature engineering, and ML development.
- 2+ years deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Nice to Have:
- Generative AI, LLMs, RAG, embeddings, vector databases, Agentic AI.
- LangChain, LlamaIndex, Azure OpenAI, Amazon Bedrock, Vertex AI.
- Docker, Kubernetes, CI/CD, Spark, Databricks, Snowflake.
- Experience with responsible AI, model governance, security, and enterprise applications.
- Strong communication and stakeholder-management skills.
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