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Tittle : ML Engineer
Location: Alpharetta GA (day1 onsite)
Job Description
We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (Google Cloud Platform), Databricks, Kubernetes, and Generative AI. This role involves designing and deploying scalable ML solutions, integrating cutting-edge generative models, and establishing robust monitoring systems to ensure performance and reliability in production environments.
Tittle : ML Engineer
Location: Alpharetta GA (day1 onsite)
Job Description
We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (Google Cloud Platform), Databricks, Kubernetes, and Generative AI. This role involves designing and deploying scalable ML solutions, integrating cutting-edge generative models, and establishing robust monitoring systems to ensure performance and reliability in production environments.
- Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
- 5 years of experience in ML/AI development and deployment.
- Strong programming skills in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
- Hands-on experience with Google Cloud Platform services and Databricks.
- Proficiency in Kubernetes and containerized ML deployment.
- Experience with Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
- Familiarity with monitoring tools in Google Cloud Platform (Cloud Monitoring, Logging, Vertex AI).
- Strong understanding of distributed computing and big data processing.
- Experience with RESTful APIs and microservices architecture.