Description

Build and deploy real-time machine learning systems using Python, R, and Spark. Own the end-to-end lifecycle from algorithm selection to productionization on AWS or Azure.

Responsibilities

• Implement real-time ML systems using Spark, Lucene, or EMR.
• Develop and optimize models using Logistic Regression, Decision Trees, Neural Networks, SVM, and Random Forest.
• Productionize deep learning solutions using AWS SageMaker, Azure ML, or H2O.
• Apply deep learning techniques to Computer Vision, Speech Recognition, or NLP domains.
• Script in Python and R to automate data pipelines and model inference.

Required Skills

• 5+ years of experience in Machine Learning and Artificial Intelligence.
• Hands-on expertise in Python and R scripting.
• Strong programming skills in C.
• Proficiency with AI/DL frameworks: TensorFlow, Keras, PyTorch, or Theano.
• Experience with Spark for data processing and real-time systems.
• Deep understanding of ML algorithms including Boosting, K-Means, and Convex Optimization.
• Knowledge of at least one domain: Computer Vision (object detection, scene understanding), Speech Recognition (ASR/TTS), or NLP (sentiment analysis, NER).

Preferred Skills

• Experience with shell scripting.
• Knowledge of transfer learning and ensemble classifiers.

Key Skills

Education

Any Graduate