Machine Learning Engineer

We are seeking a skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that solve real-world business problems. You will work closely with data scientists, software engineers, and product teams to bring ML solutions from experimentation to production.

Key Responsibilities

• Design, develop, and deploy machine learning models for prediction, classification, recommendation, or NLP/CV tasks

• Build end-to-end ML pipelines including data preprocessing, training, evaluation, and monitoring

• Optimize model performance, scalability, and reliability in production environments

• Collaborate with cross-functional teams to translate business requirements into ML solutions

• Implement and maintain MLOps practices (CI/CD for ML, model versioning, monitoring)

• Analyze large, complex datasets to extract actionable insights

• Stay current with the latest ML research, tools, and best practices

Required Qualifications

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

• Strong programming skills in Python (experience with Java/Scala is a plus)

• Solid understanding of machine learning algorithms (regression, classification, clustering, deep learning)

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

• Experience working with SQL and large datasets

• Knowledge of data structures, algorithms, and software engineering best practices

Preferred Qualifications

• Experience deploying models to production using AWS, Google Cloud Platform, or Azure

• Familiarity with Docker, Kubernetes, and cloud-based ML services

• Experience with NLP, Computer Vision, or Recommender Systems

• Understanding of model monitoring, drift detection, and retraining strategies

• Prior experience in Agile or Scrum environments