Innovate to solve the world's most important challenges
Key responsibilities -
Implementation of end-to-end statistical/ML/analytics solutions as per the industry standard process, CRISP-DM
Understand business requirements and propose suitable solutions
Explore, devise and implement ML algorithm stack
Experiment, prototype and finalize specific solution with the best business metrics
Design and implement architecture/tech stack for data integration, data flow and data storage for ML solutions
Collaborate with product teams across the organization for deployment and integration of AI solutions in existing products
Deliver production quality, modular, reproducible code in Python
Create data visualizations to visualize raw data and analytics insights to demonstrate efficacy of the solution
Requirements –
Solid understanding of statistics, probability, ML and DL
A minimum of 2 years of experience in developing and deploying end-to-end AI/ML solutions in production environment
Exposure to reinforcement learning, supervised and unsupervised algorithms, various architectures of neural networks, time series forecasting, deep learning networks
Deep expertise in any specific application of ML and DL
Prior experience in building and deploying ML pipelines from data ingestion, preparation to deploying models in production
An understanding of various databases relational, NoSQL with prior experience in any DB
Exposure to ML and DL frameworks like TensorFlow, PyTorch, Caffe, etc
Familiarity with ML testing and data validation frameworks
A go-getter attitude with a drive for execution
Good to have –
Familiarity with IoT communication protocols like MQTT
Edge AI deployment experience
#HBT2021
Additional Information
JOB ID: req349890
Category: Engineering
Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India