ML Engineer

Job Title: Machine Learning Engineer

Location: Hyderabad, India
Employment Type: Full-time
Experience Level: 3-8 Years

About the Role

We are looking for a Machine Learning Engineer to design, build, and deploy intelligent systems that turn data into real-world business value. You will work on production-grade ML pipelines, model training, and scalable inference services that power modern AI-driven products.

This role sits at the intersection of data science, software engineering, and cloud infrastructure.

Key Responsibilities

• Build, train, and optimize machine learning models for real-world applications

• Develop data pipelines for collecting, cleaning, and preparing large datasets

• Deploy ML models into production using APIs, containers, or cloud services

• Monitor model performance, accuracy, and drift over time

• Optimize models for performance, scalability, and cost

• Collaborate with product, backend, and frontend teams to integrate ML into applications

• Document experiments, model versions, and training pipelines

Required Skills

• Strong experience with Python

• Hands-on experience with machine learning algorithms and model training

• Experience with TensorFlow, PyTorch, or scikit-learn

• Solid understanding of data preprocessing, feature engineering, and evaluation metrics

• Experience building and consuming REST APIs for ML services

• Familiarity with SQL and data querying

Preferred Skills

• Experience with cloud platforms such as AWS, GCP, or Azure

• Knowledge of Docker and model deployment workflows

• Experience with MLOps tools (MLflow, Airflow, or similar)

• Understanding of NLP, computer vision, or recommendation systems

• Experience working with large-scale datasets

Experience & Qualification

• 3-8 years of experience in machine learning or data-driven engineering roles

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field