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- Machine Learning Engineer

AI & Applied Research

- Bengaluru, India

Machine Learning Engineer

Three active workstreams: price-anomaly detection over Northwind Commodities' trade blotter, document extraction for Orbit Supply covering roughly 30,000 pages a month of bills of lading and purchase orders, and retrieval over a contract library of 140,000 documents. Every one of them starts with an evaluation set, not a model. If you cannot measure it against a labelled sample the client agrees with, we do not ship it.

- Full-time — hybrid, three days a week on site

- 3-6 years shipping models other people depend on, rather than models that lived in a notebook

- Bengaluru, India

Apply for this role The work

What you will do

- Build and maintain evaluation sets before any modelling work starts, including the adversarial and long-tail cases the client keeps quiet about.

- Take the extraction pipeline from 91 to 97 per cent field-level accuracy across 14 field types, with a confidence threshold that routes the rest to human review.

- Serve models inside a 400 ms p95 budget, including retrieval, with a documented rollback to the previous version.

- Instrument drift and volume monitoring, and define the trigger conditions for retraining rather than retraining on a calendar.

- Explain to non-technical stakeholders exactly where the model will be wrong, before they find out in production.

You

What we look for

- Python and PyTorch, plus practical work with transformer models — fine-tuning, quantisation, or serving them behind an API you kept up.

- A real grasp of calibration, class imbalance and the difference between offline metrics and the decision the model actually drives.

- At least one model deployed behind live traffic, with the monitoring and rollback path you built for it.

- Healthy scepticism about published benchmark numbers, and a habit of reproducing them before quoting them.

- The judgement to say a rules engine will beat a model on a particular problem, and to say it early.

More roles

Other openings

- Bengaluru, India

- Full-time — hybrid, three days a week on site

Senior Backend Engineer (Java)

You will work on the settlement and ledger services behind Meridian Exchange's B2B marketplace: roughly 40 million ledger rows a month, Java 21 on Spring Boot, Postgres 16, Kafka for event fan-out. The interesting part is not new endpoints, it is correctness under load — idempotent writes, exactly-once effects on top of at-least-once delivery, and holding p99 write latency under 250 ms as the ledger grows.





- Jodhpur, India

- Full-time — on site

Platform Engineer, Kubernetes

Atmora runs more than 40 client workloads across EKS and AKS, from a nine-node cluster carrying Kestrel Industrial's shop-floor telemetry to a two-region active/passive setup for Corvus Logistics. You will own the internal platform those delivery teams deploy onto: the Terraform module library, the Argo CD app-of-apps layout, and the paved path that takes a service from merge to production in under 12 minutes.

- London, UK

- Full-time — London office, with four to six client-site days a month across the UK and EU

Principal Solutions Architect

Most of our UK work is legacy modernisation for regulated businesses: Cordage Bank moving a 22-year-old core banking periphery off a shared Oracle schema, Aldridge Risk replacing an overnight batch that had grown to 9 hours and 40 minutes against a 6-hour window. You will run discovery, decide the migration shape, and stay accountable for it once delivery starts — not hand over a slide deck and leave.

- Home

- Careers

- Machine Learning Engineer

AI & Applied Research

- Bengaluru, India

Machine Learning Engineer

Three active workstreams: price-anomaly detection over Northwind Commodities' trade blotter, document extraction for Orbit Supply covering roughly 30,000 pages a month of bills of lading and purchase orders, and retrieval over a contract library of 140,000 documents. Every one of them starts with an evaluation set, not a model. If you cannot measure it against a labelled sample the client agrees with, we do not ship it.

- Full-time — hybrid, three days a week on site

- 3-6 years shipping models other people depend on, rather than models that lived in a notebook

- Bengaluru, India

Apply for this role The work

What you will do

- Build and maintain evaluation sets before any modelling work starts, including the adversarial and long-tail cases the client keeps quiet about.

- Take the extraction pipeline from 91 to 97 per cent field-level accuracy across 14 field types, with a confidence threshold that routes the rest to human review.

- Serve models inside a 400 ms p95 budget, including retrieval,



with a documented rollback to the previous version.

- Instrument drift and volume monitoring, and define the trigger conditions for retraining rather than retraining on a calendar.

- Explain to non-technical stakeholders exactly where the model will be wrong, before they find out in production.

You

What we look for

- Python and PyTorch, plus practical work with transformer models — fine-tuning, quantisation, or serving them behind an API you kept up.

- A real grasp of calibration, class imbalance and the difference between offline metrics and the decision the model actually drives.

- At least one model deployed behind live traffic, with the monitoring and rollback path you built for it.

- Healthy scepticism about published benchmark numbers, and a habit of reproducing them before quoting them.

- The judgement to say a rules engine will beat a model on a particular problem, and to say it early.

More roles

Other openings

- Bengaluru, India

- Full-time — hybrid, three days a week on site

Senior Backend Engineer (Java)

You will work on the settlement and ledger services behind Meridian Exchange's B2B marketplace: roughly 40 million ledger rows a month, Java 21 on Spring Boot, Postgres 16, Kafka for event fan-out. The interesting part is not current endpoints, it is correctness under load — idempotent writes, exactly-once effects on top of at-least-once delivery, and holding p99 write latency under 250 ms as the ledger grows.

- Jodhpur, India

- Full-time — on site

Platform Engineer, Kubernetes

Atmora runs more than 40 client workloads across EKS and AKS, from a nine-node cluster carrying Kestrel Industrial's shop-floor telemetry to a two-region active/passive setup for Corvus Logistics. You will own the internal platform those delivery teams deploy onto: the Terraform module library, the Argo CD app-of-apps layout, and the paved path that takes a service from merge to production in under 12 minutes.

- London, UK

- Full-time — London office, with four to six client-site days a month across the UK and EU

Principal Solutions Architect

Most of our UK work is legacy modernisation for regulated businesses: Cordage Bank moving a 22-year-old core banking periphery off a shared Oracle schema, Aldridge Risk replacing an overnight batch that had grown to 9 hours and 40 minutes against a 6-hour window. You will run discovery, decide the migration shape, and stay accountable for it once delivery starts — not hand over a slide deck and leave.

📌 Machine Learning Engineer (Bengaluru)
🏢 Atmora Tech
📍 Bengaluru