Machine Learning Engineer

4 weeks ago


New Delhi, India Capgemini Full time

MLOps EngineerYour Role- Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment - Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools - Develop and maintain CI/CD pipelines for ML workflows - Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe) - Optimize ML infrastructure for performance, scalability, and cost-efficiencyYour Profile- Strong programming skills in Python (5+ years), with experience in ML frameworks; understanding of ML-specific testing and validation techniques - Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques - Proficiency in cloud platform (AWS) and their ML-specific services with atleast 2-3 years of experience. - Strong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.) - Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack) and knowledge of distributed training techniquesWhat you’ll love about working here- We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance - Our focus will be your career growth & professional development to support you in exploring the world of opportunities. - Equip yourself with valuable certifications & training programmes in the latest technologies such as MLOps, Machine Learning



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