AI/ML Engineer
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Role details
Tech stack
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Job description
We are looking for an Enterprise AI/ML Engineer to develop intelligent business solutions using Machine Learning, Data Science, LLMs, predictive analytics, and enterprise AI integration. The ideal candidate will have experience building scalable AI platforms and deploying production-ready ML applications., · Develop production Machine Learning models.
· Build enterprise AI applications.
· Design predictive analytics solutions.
· Develop feature engineering pipelines.
· Implement AI APIs and microservices.
· Build recommendation engines and forecasting models.
· Deploy ML workloads using Kubernetes.
· Monitor models and AI services.
· Build dashboards using Power BI.
· Support AI governance initiatives.
Requirements
· Python
· SQL
· Machine Learning
· Data Science
· Predictive Analytics
· Deep Learning
· Scikit-learn
· TensorFlow
· PyTorch
· FastAPI
· REST APIs
· Kubernetes
· Docker
· Azure ML
· Power BI
· Git
Preferred Skills:
· Snowflake
· Databricks
· Feature Engineering
· AI Monitoring
· Responsible AI
· Financial Services Domain
Mandatory Skills:
· Python
· SQL
· Machine Learning
· Data Science
· Predictive Analytics
· TensorFlow
· PyTorch
· Azure ML
· Power BI
· FastAPI
· Kubernetes
· Docker
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