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Job Location: Bangalore/Bengaluru
Responsibilities
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.
Bonus
- 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.
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