Machine Learning Engineer

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.

The position:

Looking for a Machine Learning Engineer who wants to stay somewhere for a while. We're looking for an engineer to build retrieval-augmented generation features on hosted and open-weight language models, with proper evaluation. This is a fully remote position open to candidates anywhere in India.

Duties:

• Set up evaluation harnesses and regression tests for model quality
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM
• Document model cards, data sources and known failure modes
• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow
• Write clean, tested Python and review teammates' code
• Monitor models for drift, data quality issues and latency regressions
• Fine-tune open-weight models with LoRA when it beats prompting

Minimum qualifications:

• 3-5 years of software engineering experience, with at least two spent on ML systems in production
• Hands-on experience with PyTorch, TensorFlow or JAX
• Knowledge of LLM APIs, prompt design and evaluation methods
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• Comfortable with SQL and large-scale data processing in Spark or Ray

Rate: ₹18-23.5 LPA

Compensation and benefits:

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

Shortlisted candidates will hear from us within two weeks.

Start: Immediately.

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