Join one of the fastest growing intelligent automation startups, where you get to shape your future, the future of the organization and influence the way the industry adopts automation.

At LatentBridge, you make intelligent automation accessible to every enterprise. You get to work on the cutting-edge of technology with artificial intelligent, machine learning, NLP, Optical Character Recognition (OCR) and Robotic Process Automation (RPA).

As part of the highly motivated and professional team, you get to interact with customers, understand their challenges and business goals, connect with industry partners and experts, and create innovative solutions that exceed customer expectations.

Our Values

  1. Innovative: Our Innovation Workspace is a unique environment offered at LatentBridge that allows any employee to propose and articulate ideas for funding and development. It offers an enterprise-class sandbox for innovators to build and test their product ideas for adoption. Access to state-of-the-art digital technologies, AI, and machine learning systems, enables skill upgrade and career advancement. Our curiosity drives us to push the boundaries of what’s possible.
  2. Customer First: Our communications, interactions and discussions are transparent and we operate on the policy of integrity. Our customers trust our ability to help them meet their business goals and maintain confidentiality of their proprietary information.
  3. Inclusive: We believe LatentBridge is an extended family. We respect every individual and understand each person is different and our uniqueness is what makes us successful. We understand personal boundaries and offer a flexible workplace.

We are growing our team. See how you can join us.

ML Engineer Sr. Data Scientist
  • Experience: 2 - 6 Years
  • BE/BTech/MSC/Ph.D. - Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering.
  • Understanding of the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others
  • Trade-offs Experience (Invoicing Latency, Throughput and Transactions)
  • Experience working with CI/CD, Software Design Patterns, SOLID principles, and APIs
  • Experience: 2 - 6 Years
  • BE/BTech/MSC/Ph.D. - Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering.
  • Understanding of the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others
  • Trade-offs Experience (Invoicing Latency, Throughput and Transactions)
  • Experience working with CI/CD, Software Design Patterns, SOLID principles, and APIs
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Sr. Data Engineer Fullstack Java Tech Lead-eTrade
  • Experience: 4 - 8 Year
  • BE/BTech/MSC/Ph.D. - Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering.
  • Expert in Python/Java/C++ backend development and microservices
  • DevOps mindset and experience with any of the following Docker, Terraform, Ansible, Kubernetes, Cloud Environments (Azure, Google, AWS), CI/CD
  • Experience in distributed data stores (Cassandra, Bigtable, HBase, MongoDB, HDFS)
  • Exposure to batch and streaming processing (Hadoop, Spark, Kafka, Flink, Beam, Storm, Samza)
  • Hands-on experience in developing big-data ETLs and orchestration (Hue, YARN, Airflow, Luigi, Zookeeper)
  • Strong preference for proven experience in scaling and architecting production-level machine learning systems and data products
  • Experience: 10 + Years
  • Experience working on Electronic Trading System, Swaps Pricing Engine
  • Good working understanding of Swap data attributes, trade information, pricing, and risk inputs are preferred
  • Exposer to Fixed Income, Swaps, and Exotic Asset Classes
  • Experience working in ION trading is a good-to-have
  • The job involves working on critical platform upgrades, assist on technical architecture & design, L1-L2 technical support, and work with Technology lead/teams in the fixed Income technology division
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