Role: AI Lead

Job location: Pune, Mumbai, Hyderabad, Chennai, Bangalore, Noida

Job Summary

Experience in designing & implementing solution in mentioned areas: Strong experience in developing AI/ML models on Google Cloud Platform Core Skills : TensorFlow, Recommendation Systems, Deep Learning, NumPy, Pandas, Sklearn, Python, R, Keras, Statistical Analysis, Computer Vision, PySpark

Key Responsibilities

Min 6 years of experience in Machine Learning, predictive analytics

• 6+ 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.

• 6+ years of experience in Python, Spark. Experience working in python libraries like TensorFlow, Spark ML, scikit-learn, pandas, NumPy etc.

• Software engineering in Python, positive 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).

• 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

• Strong hold of concepts in Statistics and expertise in Machine Logs processing, text mining and text analytics.

Skill Requirements

Technical / Functional Skills:- Experience in designing & implementing solution in mentioned areas: Strong experience in developing AI/ML models on Google Cloud Platform Core Skills : TensorFlow, Recommendation Systems, Deep Learning, NumPy, Pandas, Sklearn, Python, R, Keras, Stati

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