Machine Learning Engineer

We are looking for a Machine Learning Engineer who will design, build, and deploy scalable ML models that power real-world products. You’ll work closely with data scientists, product managers, and software engineers to translate business problems into production-ready machine learning solutions.

Key Responsibilities

• Design, develop, and deploy machine learning models and pipelines

• Work with structured and unstructured data to build predictive and intelligent systems

• Collaborate with product and data teams to define ML use cases and success metrics

• Implement model training, evaluation, and optimization workflows

• Deploy models into production and monitor performance over time

• Improve model accuracy, scalability, and efficiency

• Write clean, maintainable, and well-documented code

• Stay updated with the latest ML techniques and best practices

Required Qualifications

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

• 2–4 years of experience in machine learning or applied data science

• Strong programming skills in Python

• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn

• Solid understanding of supervised and unsupervised learning algorithms

• Experience with data preprocessing, feature engineering, and model evaluation

• Familiarity with SQL and working with large datasets