Senior Machine Learning Engineer - Recommendations

About us:

Clients range from single-location retailers to franchise groups with hundreds of stores, all running our point-of-sale and loyalty software. Founded in 2007, the business writes the billing, metering and customer portal software that small water and electric utilities run on. Releases go out Tuesday mornings, never on Fridays.

The role:

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. Fernhill Apps is hiring for the Senior Machine Learning Engineer - Recommendations role to take models from notebook to production and keep them working once they're there. This role is fully remote within India. Monday to Friday, regular working hours, flexible start and finish.

What you'll work on:

• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow
• Track experiments, artifacts and versions in MLflow or Weights & Biases
• Maintain feature pipelines and a feature store such as Feast or Tecton
• Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure
• Set up evaluation harnesses and regression tests for model quality
• Productionize data science prototypes without rewriting everything

What you bring:

• 5+ years of software engineering experience, with at least two spent on ML systems in production
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• BS or MS in computer science, engineering or a related field
• Hands-on experience with PyTorch, TensorFlow or JAX
• Strong Python and solid engineering habits (testing, packaging, code review)

Perks and benefits:

• Health insurance for you and your family
• Provident fund
• Paid leave
• Learning budget
• Gratuity

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Fernhill Apps Pvt Ltd.