HomeData Science JobsPhaidra | is Hiring | Software Engineer (Machine Learning, AI Platform) |...

Phaidra | is Hiring | Software Engineer (Machine Learning, AI Platform) | BigDataKB.com | 2022-04-05

Job Location: Bangalore/Bengaluru


As an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Software Engineering, Distributed Systems, MLOps and DevOps. In particular, you will –

  • Build components for the data platform –
  • Realtime data ingestion APIs based on REST and MQTT to enable our partners and customers to integrate with ease.
  • Data adapters for industrial protocols such as OPC UA.
  • Distributed data processing pipelines and scalable feature store.
  • Product features for data health monitoring and alerts.
  • Build components for the machine learning platform –
  • Distributed model training and evaluation
  • Distributed inference and realtime decision making for autonomous control of industrial systems.
  • Model observability and model performance monitoring.
  • Incorporate new Deep RL techniques in the platform that are developed by our AI research engineers.
  • Make the platform deployable in cloud, hybrid and on-prem environments.
  • Perform DevOps duties of CI/CD, Release Deployment management.

Key Qualifications

  • 0+ years of work experience.
  • Bachelors or Masters in Computer Science, or equivalent experience.
  • Experience with traditional Software Engineering – relational and non-relational data modeling, micro-services, understanding of event driven systems, etc.
  • Experience with Machine Learning: Knowledge and preferably completed course on Supervised, Unsupervised and Reinforcement Learning.
  • Share our company values: curiosity, ownership, transparency directness, outcome-based performance, and customer empathy.
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  • Strong expertise in Python
  • Experience in Deep Reinforcement Learning
  • Experience with production level MLOps – feature engineering, distributed model training, serving inference, etc.
  • Experience with building applications that can be deployed in cloud, hybrid or on-prem environments.
  • Exposure to some industrial control systems and/or processes.
  • Experience with industrial data protocols such as OPC UA, MQTT, etc.

Apply Here

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