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1 Day ago

Binary Semantics - Machine Learning Engineer - Artificial Intelligence

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Hyderabad, Telangana, India
Information Technology
Full-Time
Binary Semantics Ltd.

Overview

Job Description

As a Machine Learning Engineer specializing in cognitive services, you will play a critical role in developing, optimizing, and deploying machine learning models that enhance the intelligence of our software products. You will work with cross-functional teams to create intelligent applications and services that understand and respond to natural language, images, and more.

Key Responsibilities

  • Design, develop, and implement machine learning models and algorithms for cognitive services.
  • Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver innovative solutions.
  • Optimize machine learning models for scalability, efficiency, and performance.
  • Participate in data collection, labeling, and preprocessing efforts to support model training.
  • Stay up-to-date with the latest advancements in machine learning and cognitive services.
  • Conduct research to identify the best AI and ML practices for our Required :
  • Bachelor's or Master's degree in computer science, machine learning, or related field.
  • 2+ years of practical experience in machine learning, deep learning, and natural language processing.
  • Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
  • Strong programming skills in languages such as Python.
  • Experience in deploying machine learning models into production environments.
  • Knowledge of cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker).
  • Excellent problem-solving and analytical skills.
  • Strong communication skills and the ability to collaborate effectively in a team.
  • Understanding of vector to Have :
  • Experience with computer vision and image recognition.
  • Knowledge of speech recognition and audio processing.
  • Familiarity with chatbots and virtual assistants.
  • Understanding of reinforcement learning.
  • Open-source contributions or personal machine learning projects.

(ref:hirist.tech)
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