Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Company Description

Radha TMT, a prominent brand within the Radha Group, has been a leader in the steel industry for over six decades. Known for its high-quality TMT bars, the company offers two flagship products, Rhino 600+ and Radha 550D LRF, designed for both residential and heavy-duty construction projects. Utilizing advanced Ladle Refining Furnace and German Thermex® technologies, Radha TMT’s products meet the highest industry standards for strength, durability, and performance. Based in India and driven by a legacy of innovation, Radha TMT remains a trusted name in building a stronger nation.

Role Description

This is an on-site, full-time role for an AI Specialist based in Hyderabad. The AI Specialist will focus on the development, implementation, and optimization of AI models and algorithms to improve operations and decision-making processes. Responsibilities will include researching and developing machine learning solutions, managing AI systems, analyzing large datasets, and collaborating across teams to design innovative solutions. The role also involves continuous improvement of AI-driven systems to meet organizational needs.

Qualifications

  • Expertise in Artificial Intelligence, Machine Learning, and Deep Learning concepts
  • Proficiency in programming languages such as Python, R, or Java, and hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
  • Strong statistical and data analysis skills, including experience working with large datasets and data visualization tools
  • Understanding of Natural Language Processing (NLP) or Computer Vision applications
  • Problem-solving, creative thinking, and research skills for developing innovative AI models
  • Experience with cloud platforms and tools like AWS, Azure, or Google Cloud is a plus
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields
  • Strong communication skills and ability to work collaboratively in a team environment

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