Role Overview

We are looking for a Machine Learning Engineer to build and deploy ML models supporting the Linkfields

platform — for example recommendations, demand forecasting or anomaly detection — and to

productionize them at scale on AWS.

Key Responsibilities

- Design, train and evaluate ML models for relevant use cases.

- Build production ML pipelines covering feature engineering, training, deployment and monitoring.

- Deploy models via AWS SageMaker, Lambda or containerized services.

- Implement MLOps practices — CI/CD for models, monitoring and retraining.

- Collaborate with Data Engineers on data pipelines and feature stores.

- Document model performance, limitations and assumptions.

Must-Have Skills





- 5+ years of experience building and deploying ML models.

- Strong Python skills and experience with ML frameworks (scikit-learn, PyTorch or TensorFlow).

- Experience productionizing ML models at scale.

- Hands-on experience with the AWS ML stack (SageMaker or equivalent).

- Experience with data pipelines and feature engineering.

Positive to Have

- MLOps tooling experience (MLflow, Kubeflow).

- NLP or LLM fine-tuning experience.

- Telecom or retail use-case experience.

Work Location: Hybrid remote in Hyderabad, Telangana

📌 Machine Learning Engineer (Hyderabad)
🏢 Vega consulting
📍 Hyderabad