AI/ML Engineer

JD:-

• Min 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, Tensor Flow, pyTorch, GCP AI/ML services.
• 5+ years of experience in Python, Spark. Experience working in python libraries like Tensor Flow, 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: Big Query, Cloud Composer, Vertex AI & AI/ML services in general
• Strong hold of concepts in Statistics and expertise in Machine Logs processing, text mining and text analytics.

Skills: reinforcement learning,software engineering,pandas,machine learning,deep learning,un-supervised learning,statistics,keras,gcp,spark,pytorch,ci/cd principles,ml ops,python,kubernetes,numpy,machine logs processing,containers,model deployment,cloud composer,big query,python sdk,scikit-learn,supervised learning,text mining,google cloud platform,tensor flow,azure,vertex ai,text analytics,gcp ai/ml services,aws,ml,spark ml,tensorflow,model monitoring