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Artificial Intelligence Engineer

4 weeks ago

Solapur, India Donyati Full time

Job Title: AI Engineer

Experience: 3+ yrs

Location:Remote options available

Role Overview:

We are seeking a skilled AI Engineer with 3–5 years of hands-on experience in designing, developing, and deploying AI/ML solutions in cloud environments. The ideal candidate will have strong proficiency in Python, experience with both Azure and AWS, and a solid understanding of MLOps practices.

Key Responsibilities:

  • 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.

Required Skills:

  • 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).