AI ML Engineer (Kolkata)

We are looking for AI/ML Engineer - Minimum 5 years of experience in Machine Learning, predictive analytics - 5+ years of hands on experience in developing models using Machine Learning and Deep Learning related technologies such as Keras, TensorFlow, pyTorch, GCP AI/ML services. - 5+ years of experience in Python, Spark. Experience working in python libraries like TensorFlow, Spark ML, scikit-learn, pandas, NumPy etc. - Software engineering in Python, good with Python SDK, able to build libraries and comfortable in deploying Python codes in production. - Hands on experience on Model deployment and Model Monitoring on any public cloud (AWS/Azure/ GCP). GCP experience is an added advantage - Prior experience of handling Supervised Learning, Un-supervised learning, and Reinforcement learning problems in different industry verticals (Banking/ Finance/ telecom/Retail/ technology etc) - Experience transforming data science prototypes into robust, scalable products running seamlessly in production - Experience with implementing CI/CD principles in the Machine Learning domain (ML Ops) - Exposer to containers and its orchestration (Kubernetes). - Google Cloud Platform: BigQuery, Cloud Composer, Vertex AI & AI/ML services in general - Solid hold of concepts in Statistics and expertise in Machine Logs processing, text mining and text analytics. We are looking for AI/ML Engineer - Minimum 5 years of experience in Machine Learning, predictive analytics - 5+ years of hands on experience in developing models using Machine Learning and Deep Learning related technologies such as Keras, TensorFlow, pyTorch, GCP AI/ML services. - 5+ years of experience in Python, Spark. Experience working in python libraries like TensorFlow, Spark ML, scikit-learn, pandas, NumPy etc. - Software engineering in Python, good with Python SDK, able to build libraries and comfortable in deploying Python codes in production. - Hands on experience on Model deployment and Model Monitoring on any public cloud (AWS/Azure/ GCP). GCP experience is an added advantage - Prior experience of handling Supervised Learning, Un-supervised learning, and Reinforcement learning problems in different industry verticals (Banking/ Finance/ telecom/Retail/ technology etc) - Experience transforming data science prototypes into robust, scalable products running seamlessly in production - Experience with implementing CI/CD principles in the Machine Learning domain (ML Ops) - Exposer to containers and its orchestration (Kubernetes). - Google Cloud Platform: BigQuery, Cloud Composer, Vertex AI & AI/ML services in general - Solid hold of concepts in Statistics and expertise in Machine Logs processing, text mining and text analytics.