Description

You will design, train, and deploy machine learning and deep learning models to solve complex technical problems.

Responsibilities

• Design, develop, and evaluate machine learning and deep learning models.
• Optimize models for performance, scalability, and real-time processing.
• Perform data preprocessing, feature engineering, and data augmentation on structured and unstructured data.
• Deploy ML/DL models into production environments and integrate them with APIs or cloud services.
• Develop pipelines for model monitoring, retraining, and production troubleshooting.

Required Skills

• 5+ years of experience in machine learning or related fields.
• Strong programming proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
• Expertise in deep learning architectures including CNNs, RNNs, Transformers, and GANs.
• Deep understanding of linear algebra, calculus, probability, and statistics.
• Proficiency with data manipulation libraries such as Pandas, NumPy, and Dask.
• Knowledge of Computer Vision, NLP, or Reinforcement Learning.
• Bachelor's or Master's degree in Computer Science, Data Science, or AI.

Preferred Skills

• PhD in a relevant field.
• Knowledge of R, C++, or Java.
• Experience with AWS, Google Cloud, or Azure.
• Familiarity with MLOps, CI/CD, Docker, or Kubernetes.
• Experience with big data technologies like Hadoop, Spark, or Kafka.

Key Skills

Education

Bachelor's or Master's degree in Computer Science, Data Science,