# Senior ML Engineer

**Company:** [SSC HR Solutions](https://jobs.workable.com/companies/1ULsr4Bem27P2yEREYZFym.md)
**Location:** Remote
**Workplace:** remote
**Department:** Engineering

[Apply for this job](https://jobs.workable.com/view/66c37994-b7e5-4070-a29c-c5d75cc20c41)

## Description

Job Description

We are looking for a **Senior Machine Learning Engineer** with strong experience in the **Telecommunications (Telco) domain** to design, develop, deploy, and maintain production-ready machine learning solutions.

The ideal candidate will have hands-on experience in **ML model development, feature engineering, deployment, monitoring, and retraining**, with a strong understanding of MLOps practices and the end-to-end machine learning lifecycle.

### Key Responsibilities

-   Develop and deploy production-grade machine learning models for **Telco use cases**.
-   Build ML solutions for use cases such as **customer churn prediction, customer segmentation/clustering, and demand forecasting**.
-   Prepare, clean, transform, and analyze large customer datasets.
-   Perform **feature engineering** and develop relevant features for machine learning models.
-   Train, validate, and evaluate supervised and unsupervised machine learning models.
-   Use **Python** for data preparation, model development, validation, and automation.
-   Use **SQL** to access, extract, transform, and process data from various sources.
-   Implement and maintain **MLOps pipelines** across the ML lifecycle.
-   Manage **model versioning, deployment, production monitoring, and retraining**.
-   Monitor model performance and data/model drift in production and take appropriate corrective actions.
-   Collaborate with data engineers, data scientists, and business stakeholders to deliver scalable ML solutions.
-   Ensure ML models are reliable, maintainable, and suitable for production environments.
-   Continuously improve existing models, features, and ML workflows based on production results.

## Requirements

Requirements

-   **4+ years of experience** in Machine Learning, Data Science, or a related field.
-   **Telco/Telecommunications domain experience is a MUST.**
-   Proven experience building and deploying **production ML models for Telco use cases**, such as:

-   Churn prediction
-   Customer clustering/segmentation
-   Demand forecasting
-   Customer behavior prediction

-   Strong knowledge of **supervised and unsupervised machine learning** techniques.
-   Strong hands-on experience with **Python** for data preparation, feature engineering, and ML model development.
-   Strong **SQL** skills for accessing, processing, and analyzing customer data.
-   Hands-on experience with **feature engineering** and customer data preparation.
-   Practical **MLOps experience**, including:

-   Model versioning
-   Model deployment
-   Production monitoring
-   Model retraining

-   Experience with **MLflow or an equivalent MLOps/model lifecycle management platform**.
-   Experience taking ML models from development through **production deployment and ongoing monitoring**.
-   Ability to evaluate model performance and identify opportunities for model improvement.
-   Strong understanding of the end-to-end **machine learning lifecycle**.
-   Experience with **Dataiku or equivalent enterprise ML platforms** is a plus.
-   Experience with **Spark, Feature Stores, or uplift modelling** is a plus.