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Home
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Jobs in Jaipur
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SoftSensor.ai
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MLTech Back End Engineer

MLTech Back End Engineer

SoftSensor.ai

8 years

0 Lacs

Jaipur Rajasthan India

Posted:2 days ago| Platform:

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Skills Required

developer power ml design microservices data latency model reliability stack kubernetes kafka redis testing service rest contracts versioning retrieval rollback sqs semantics airflow management profiling circuit autoscaling storage mysql olap redshift security jwt iam audit retention encryption metrics opentelemetry docker helm github gitlab python fastapi openapi concurrency sql packaging optimization scheduling cuda

Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

This is a full-time on-site role for a Back End Developer, located in Jaipur. We’re hiring a Backend Engineer to build and operate the services that power our ML products. You’ll design event-driven microservices, real-time data pipelines, and low-latency model-serving APIs. You’ll own reliability, performance, and observability, and you’ll partner closely with ML and data teams to ship measurable impact. Our stack includes Kubernetes, Kafka, Postgres/Redis, and model serving with Triton/TorchServe/Ray Serve. You care about clean interfaces, robust testing, and secure, cost-efficient systems.

Core Responsibilities

Service architecture

Design REST/gRPC microservices, event-driven workflows, and internal SDKs.
Define contracts, schemas, versioning, and backward compatibility.

Model serving & ML infra

Package and deploy models (batch + online) via Triton/TorchServe/Ray Serve/FastAPI.
Implement feature retrieval, feature stores, and online/offline parity.
Add A/B, canary, shadow, traffic mirroring, and model rollback hooks.

Data streaming & queues

Build producers/consumers with Kafka/Pulsar/Kinesis or SQS/RabbitMQ.
Exactly-once/at-least-once semantics, retries, DLQs, idempotency keys.

Batch & streaming pipelines

Orchestrate workflows with Airflow/Argo/Prefect.
State management, watermarking, late data handling, compaction.

Performance & reliability

Profiling, caching (Redis), rate-limiting, circuit breakers.
SLOs/SLIs (latency, p95/p99, availability), autoscaling, capacity planning.

Storage & schemas

OLTP (Postgres/MySQL), OLAP (BigQuery/Redshift/Snowflake), object stores.
Schema evolution, migrations, CDC, time-series storage.

Security & governance

AuthN/Z (OIDC/JWT), secrets management, IAM least privilege.
PII handling, audit logs, data retention, encryption in transit/at rest.

Observability

Metrics/tracing/logs (Prometheus/OpenTelemetry/Grafana/ELK).
Playbooks, runbooks, SRE handoff, on-call rotation readiness.

DevEx & CI/CD

Docker/K8s, Helm, GitHub Actions/GitLab CI, artifact registries.
Contract tests, e2e tests, load tests, chaos experiments.
Collaboration
Partner with ML to define interfaces (input validation, schema, SLAs).
Work with product to refine requirements; with data eng on pipelines.

Stack

Languages:
Python, Go, or Node.js/TypeScript (pick 1–2 primary)
APIs:
FastAPI/gRPC/Express + OpenAPI/Buf
Streaming/Queues:
Kafka/Pulsar/Kinesis/SQS
Serving:
NVIDIA Triton, TorchServe, Ray Serve, BentoML
Orchestration:
Airflow/Argo/Prefect
Stores:
Postgres, Redis, S3/GCS, feature store (Feast)
Infra:
Docker, Kubernetes, Helm, Terraform
Obs:
Prometheus, Grafana, OpenTelemetry, Loki/ELK

Experience

3–8+ years backend experience designing high-throughput services.
Strong with event-driven systems, concurrency, and data modeling.
Hands-on with one major queue/stream platform and one SQL DB.
Experience packaging and running ML models in production (GPU/CPU).
Solid testing discipline (unit, contract, property, and load testing).
Vector DBs (FAISS/pgvector/Weaviate), retrieval patterns for RAG.
Cost optimization, GPU scheduling, CUDA basics, Triton kernels.
Privacy/regulated domains (HIPAA/GxP/PCI), fine-grained access control.

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