▷ 15h Left: Ai

3 weeks ago

Noida Uttar Pradesh, India WNS Global Services Full time

Company Description WNS Holdings Limited NYSE WNS is a leading Business Process Management BPM company We combine our deep industry knowledge with technology and analytics expertise to co-create innovative digital-led transformational solutions with clients across 10 industries We enable businesses in Travel Insurance Banking and Financial Services Manufacturing Retail and Consumer Packaged Goods Shipping and Logistics Healthcare and Utilities to re-imagine their digital future and transform their outcomes with operational excellence We deliver an entire spectrum of BPM services in finance and accounting procurement customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client We co-create and execute the future vision of 400 clients with the help of our 44 000 employees Min Exp - 5-8 years Location - PAN India Engagement Project Overview An AI model trainer brings specialised knowledge in developing and fine-tuning machine learning models They can ensure that your models are accurate efficient and tailored to your specific needs Hiring an AI model trainer and tester can significantly enhance our data management and analytics capabilities 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 Innovative mindset with a keen understanding of industry trends License Certification Registration

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