Machine Learning Engineer, MLOps

Advertising, subscriptions and transaction fees each bring in a significant share of revenue. Traffic during holiday peaks can reach ten times normal levels, and the platform is built for it. We started in 1996 and have grown to about 109,600 people.

Job summary

Canalcross is hiring a Machine Learning Engineer, MLOps to work remotely from India. The Machine Learning team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. This hire will help build out our ML platform: feature store, training pipelines, model registry and deployment. This is a full-time remote role. We use an employer of record in India, so you get a proper employment contract, not a freelance agreement. Working hours overlap with Central European Time.

Duties

• Productionize data science prototypes without rewriting everything.
• Monitor models for drift, data quality issues and latency regressions.
• Write clean, tested Python and review teammates' code.
• Set up evaluation harnesses and regression tests for model quality.
• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow.
• Maintain feature pipelines and a feature store such as Feast or Tecton.
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM.
• Handle on-call for the ML services the team owns.

Required qualifications

• 3-5 years of software engineering experience, with at least two spent on ML systems in production.
• BS or MS in computer science, engineering or a related field.
• Hands-on experience with PyTorch, TensorFlow or JAX.
• Experience deploying models as services and monitoring them.
• Strong Python and solid engineering habits (testing, packaging, code review)

Nice to have

• Published papers or open source ML contributions.
• Guardrails, red teaming or safety evaluation for LLM features.
• Distributed training with DeepSpeed or FSDP.

Pay: ₹52,00,000 - ₹64,00,000 per year

What you get

• Home office setup budget.
• Paid parental leave.
• 24 days paid time off.
• Wellness allowance.

We are reviewing applications as they arrive, so apply early.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Canalcross.