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Awake Solutions Linkedin · Posted 10d ago

Machine Learning Engineer — MLOps

Benton House

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Indexed description

We are looking for a

Machine Learning Engineer — MLOps

Build and maintain ML pipelines, CI/CD for models, and observability to ensure models are reproducible, monitored and safely serving predictions in production.

Tasks

  • Design end-to-end MLOps pipelines: data ingestion, training, validation and deployment.
  • Implement model CI/CD, automated testing, and canary/rollback strategies.
  • Build monitoring for model performance, data drift and alerts.
  • Work with infra teams to optimize cost, scaling and reproducibility of model workloads.

Requirements

  • 3+ years in ML engineering or SRE with experience building MLOps pipelines.
  • Experience with orchestration (Airflow, Kubeflow), infra-as-code and CI systems.
  • Familiarity with model serving frameworks (TorchServe, TF Serving, Triton) and monitoring tools.
  • Strong Python skills and experience with cloud platforms (AWS/GCP/Azure).

Benefits

Competitive salary

Cloud & GPU credits

Professional development and certification support

Flexible working and hybrid options

Job details

Job type

Full-time

Location

Remote / In-house (Hybrid)

Salary

₹110k – ₹180k INR (depending on experience)

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Current openings

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Some clients feedbacks

“We’re looking for people who share our vision! most of our time used to be taken up by most of alternate administrative work whereas now we can focus on building out to help our employees.”

Mark Zellers

CEO, Co-Founder.

“This powerful tool eliminates the need to leave Salesforce to get things done as I can create a custom proposal with dynamic pricing tables, and get approval from my boss all within 36 minutes.”

Natalia Larsson

Director of Sales

“We are based in Europe and the latest Data Protection Regulation forces us to look for service suppliers that comply with this regulation and as we look to create our website and this builder just outstanding!”

Sarah Edrissi

Lead Marketing

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