Expertise in Model Development Develop and fine-tune machine learning models Ensure models are accurate efficient and tailored to our specific needs 2 Quality Assurance Rigorously evaluate models to identify and rectify errors Maintain the integrity of our data-driven decisions through high performance and reliability 3 Efficiency and Scalability Streamline processes to reduce time-to-market Scale AI initiatives and ML engineering skills effectively with dedicated model training and testing 4 Production ML Monitoring MLOps Implement and maintain model monitoring pipelines to detect data drift concept drift and model performance degradation Set up alerting and logging systems using tools such as Evidently AI WhyLabs Prometheus Grafana or cloud-native solutions AWS SageMaker Monitor GCP Vertex AI Azure Monitor Collaborate with teams to integrate monitoring into CI CD pipelines using platforms like Kubeflow MLflow Airflow and Neptune ai Define and manage automated retraining triggers and model versioning strategies Ensure observability and traceability across the ML lifecycle in production environments Qualifications Qualifications 5 years of experience in the respective field Proven experience in developing and fine-tuning machine learning models Strong background in quality assurance and model testing Ability to streamline processes and scale AI initiatives Creative mindset with a keen understanding of industry trends License Certification Registration Job Location

📌 Ai - Ml (Uttar Pradesh)
🏢 WNS
📍 Uttar Pradesh