Machine Learning Engineer

Responsibilities

• Design, train, and deploy machine learning models for production environments.
• Build data pipelines for model training, evaluation, and optimization.
• Work with large-scale datasets, perform feature engineering, data cleaning, and model tuning.
• Develop scalable algorithms for NLP, computer vision, or recommendation systems.
• Collaborate with product and engineering teams to integrate ML solutions.
• Monitor model performance and ensure reliability, accuracy, and efficiency.
• Document ML workflows, research findings, and technical guidelines.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related discipline.
• Strong foundation in machine learning, statistics, and applied mathematics.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/K8s).
• Knowledge of MLOps best practices is a strong plus.
• Excellent problem-solving and analytical skills.

Benefits

• Skills: Ability To Work Under Pressure, Big Picture Thinking, Electro-Mechanical Products