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Urgent! AI Engineer - Machine Learning Job Opening In India, India – Now Hiring IFLOWTECH SOLUTIONS PRIVATE LIMITED

AI Engineer Machine Learning



Job description

<p>We are seeking a skilled AI Engineer with 3-8 years of hands-on experience in designing, developing, and deploying AI/ML solutions in cloud environments.<br/><br/>The ideal candidate will have strong proficiency in Python, experience with both Azure and AWS, and a solid understanding of MLOps practices.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design and implement scalable AI/ML models for banking applications (e.g., fraud detection, credit scoring, customer segmentation).<br/><br/>- Deploy and manage models in production using Azure ML and AWS SageMaker.<br/><br/>- Collaborate with data scientists, software engineers, and DevOps teams to operationalize ML workflows.<br/><br/>- Build and maintain CI/CD pipelines for ML model deployment and monitoring.<br/><br/>- Ensure compliance with data governance, security, and regulatory standards.<br/><br/>- Optimize model performance and resource usage in cloud environments.<br/><br/>- Document processes, models, and deployment strategies for internal knowledge sharing.<br/><br/>Required Skills :<br/><br/>Programming : </p><p><br/></p><p>- Strong Python skills, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.<br/><br/>Cloud Platforms : </p><p><br/></p><p>- Hands-on experience with Azure ML, AWS SageMaker, and cloud-native services (e.g., Lambda, EC2, S3, Azure Functions).<br/><br/>MLOps : </p><p><br/></p><p>- Familiarity with ML lifecycle tools (MLflow, Kubeflow, Airflow), containerization (Docker), and orchestration (Kubernetes).<br/><br/>Deployment : </p><p><br/></p><p>- Experience deploying models as REST APIs or batch jobs in production environments.<br/><br/>Version Control & CI/CD : </p><p><br/></p><p>- Git, GitHub Actions, Azure DevOps, or AWS Code Pipeline.<br/><br/>Monitoring & Logging : </p><p><br/></p><p>- Tools like Prometheus, Grafana, or cloud-native monitoring solutions.<br/><br/><b style="background-color: inherit;">Preferred Qualifications :</b><br/><br/>- Experience in the banking or financial services domain.<br/><br/>- Knowledge of data privacy regulations (e.g., GDPR, PSD2).<br/><br/>- 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).

</p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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