Manager AI ML Engineering

McDonald's; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

McDonald’s Hyderabad is seeking a senior Machine Learning Engineer to develop, train, and deploy scalable ML models. You will build pipelines and APIs to integrate models with product systems in production environments.

The role requires a strong background in ML, data exploration, and MLOps, with hands-on experience using Python and standard ML libraries. Join a fast-paced, innovation-driven team delivering impact across the business.

Qualifications

• Master’s degree in computer science, ML, Data Science or related field.
• 5+ years of experience in ML engineering or related roles.
• Proven experience in training, developing and deploying ML models.
• Familiarity with data exploration, preprocessing and feature engineering.
• Proficiency in Python and ML libraries such as Pandas/NumPy/Scikit-learn/TensorFlow/PyTorch.
• Experience with API development and backend integration (FastAPI/Flask/Django).
• Strong knowledge of MLOps tools and practices (MLflow/Kubeflow/Airflow/Docker/Kubernetes).
• Experience building data pipelines and monitoring deployed models.

Responsibilities

• Develop, train, and evaluate ML models including feature engineering.
• Deploy ML models into production ensuring scalability and reliability.
• Design and maintain model deployment pipelines with CI/CD and testing.
• Develop monitoring for model performance and data drift.
• Build backend services and APIs to integrate models with products.
• Apply MLOps best practices for reproducibility and reliability.
• Collaborate with engineers and product teams to deliver ML solutions.

Skills

Python

ML libraries

MLOps

API development

Docker/Kubernetes

Education

Master’s degree in computer science, ML, Data Science

Tools

FastAPI

Flask

Django

MLflow

Kubeflow

Airflow

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Docker

Kubernetes

Job description

Job Description:

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonalds global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Department Overview

We are looking for a Machine Learning Engineer to develop, train, and deploy machine learning models, ensuring they are accurate, scalable, and production-ready. The ideal candidate has strong hands-on experience in ML model development, deployment, and MLOps practices, with familiarity in data exploration and feature engineering.

Key Responsibilities:

• Develop, train, and evaluate machine learning models, including feature engineering, model selection, and hyperparameter tuning.
• Deploy ML models into production environments, ensuring scalability, reliability, and maintainability.
• Design, implement, and maintain model deployment pipelines, including CI/CD workflows, automated testing, and model versioning.
• Develop and maintain monitoring systems to track model performance, data drift, and system health.
• Build backend services and APIs to integrate ML models with product systems and applications.
• Apply best practices in MLOps, ensuring reproducibility, reliability, and efficient model operations.
• Collaborate with engineers and product teams to deliver high-quality ML solutions.

Qualifications

• Master’s degree in computer science, Machine Learning, Data Science, or a related field.
• 5+ years of experience in ML engineering or related roles.
• Proven experience in training, developing, and deploying ML models.
• Familiarity with data exploration, preprocessing, and feature engineering.
• Proficiency in Python and standard ML/data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience with API development and backend integration (e.g., FastAPI, Flask, Django,).
• Strong understanding of MLOps tools and practices, such as MLflow, Kubeflow, Airflow, Prefect, Docker, Kubernetes.
• Experience building data pipelines, processing workflows, and monitoring deployed models.

Preferred:

• Experience with distributed computing frameworks (Spark, Ray).
• Familiarity with cloud platforms (AWS, GCP) or platform-agnostic orchestration tools.
• Experience working in fast-paced, experimentation-driven environments.
• Knowledge of microservices or event-driven architectures.

McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.