Data Scientist Position Available

6 days ago

nellore, India beBeeMachineLearning Full time

Job Title: AI DeveloperExperience: 3+ yrs We seek a seasoned AI/ML Specialist to design, develop and deploy intelligent systems in cloud environments. The ideal candidate will have strong proficiency in Python programming language, experience with both Azure and AWS platforms, and a solid understanding of machine learning operations (MLOps) practices.Key Responsibilities:Design and implement scalable artificial intelligence models for banking applications (e.g., fraud detection, credit scoring, customer segmentation).Deploy and manage models in production using Azure Machine Learning and AWS SageMaker services.Collaborate with data scientists, software engineers, and DevOps teams to operationalize ML workflows.Build and maintain continuous integration/continuous deployment (CI/CD) pipelines for ML model deployment and monitoring.Ensure compliance with data governance, security, and regulatory standards.Optimize model performance and resource usage in cloud environments.Document processes, models, and deployment strategies for internal knowledge sharing.Required Skills and Qualifications:Programming: Strong Python skills, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.Cloud Platforms: Hands-on experience with Azure ML, AWS SageMaker, and cloud-native services (e.g., Lambda, EC2, S3, Azure Functions).MLOps: Familiarity with machine learning lifecycle tools (MLflow, Kubeflow, Airflow), containerization (Docker), and orchestration (Kubernetes).Deployment: Experience deploying models as REST APIs or batch jobs in production environments.Version Control & CI/CD: Git, GitHub Actions, Azure DevOps, or AWS CodePipeline.Monitoring & Logging: Tools like Prometheus, Grafana, or cloud-native monitoring solutions.Preferred Qualifications:Experience in the banking or financial services domain.Knowledge of data privacy regulations (e.g., GDPR, PSD2).Exposure to generative AI or LLM fine-tuning is a plus. (Certifications in Azure or AWS) 

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