Talent.com
Senior AI Engineer

Senior AI Engineer

Skilltude Talent SolutionsBengaluru, KA, in
9 days ago
Job type
  • Quick Apply
Job description

Job Description

This is a remote position.

About Client

Headquartered in Detroit, Michigan , the company   is a growing consulting and technology solutions firm that helps global businesses make smarter, data-driven decisions. We deliver solutions in cloud transformation, enterprise performance management, business intelligence and ERP .

Join our collaborative international team , where ideas are valued and innovation thrives. You’ll gain exposure to cutting-edge technologies , work with industry leaders and grow your career while making a real impact.

We’re looking for an AI Engineer / Sr AI Engineer (3–10 years’ experience) skilled in Python , with experience on Azure and AWS and a solid grasp of MLOps practices .

  • Design and implement scalable AI / ML models for banking applications (e.g., fraud detection, credit scoring, customer segmentation).
  • Deploy and manage models in production using Azure ML and AWS SageMaker.
  • Collaborate with data scientists, software engineers, and DevOps teams to operationalize ML workflows.
  • Build and maintain 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.

Requirements

  • 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 ML 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) (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning).

    • Requirements

    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 ML 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) (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning).
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    Senior Ai Engineer • Bengaluru, KA, in