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Role: AI ML Engineer
Total Yrs of exp: 6 Yrs+
Relevant experience for engagement: 5+ Years
Relevant skillset:
•Machine Learning concepts (Model Evaluation/ Model Deployment/ Model Monitoring)
•Python, R, Sklearn, Deep Learning
•Supervised, Un-supervised and Reinforcement Learning
•Data Analytics & Data Science for solutioning
Relevant technology domains:
Experience in designing & implementing solution in mentioned areas:
Professional Summary
• 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, 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
• Strong hold of concepts in Statistics and expertise in Machine Logs processing, text mining and text analytics.
Relevant Certifications
• Google Professional Cloud architect
• Google AI/ML Certification
• TenserFlow Certification