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AI/ML Engineer - Fresher

Posted on:

02/11/2023

Closing on:

30/11/2023

Contact email:

career@genrobotics.org

Brief description :

Genrobotics is a leading Robotics company in India, dedicated to advancing the field of Robotics & Artificial Intelligence. We are offering an exciting opportunity for AI/ML enthusiasts to join our team as AI/ML Engineer and gain practical experience in the dynamic world of AI.

Key Responsibilities:

  • Work closely with our AI/ML team to develop and implement machine learning models and algorithms.
  • Collaborate with the AI/ML team to gather and preprocess data for analysis.
  • Work with popular AI/ML frameworks and libraries, including scikit-learn, TensorFlow, PyTorch, Keras, Theano, and others.
  • Write and maintain code in Python, Java, C++, and utilize libraries like pandas, NumPy, SciPy, and more.
  • Support data analysis, model training, and testing, and help with performance evaluation.
  • Contribute to the research and development of AI/ML solutions.
  • Contribute to the training of machine learning models for various applications, such as natural language processing, image recognition, and predictive analytics.
  • Participate in model testing and evaluation, learning how to assess model accuracy and identify areas for improvement using statistical analysis and other techniques.
  • Gain experience in deploying and maintaining machine learning models in production environments, with a focus on performance monitoring and necessary updates.
  • Stay updated with the latest AI/ML trends, tools, and technologies.
  • Present findings, insights, and results to the team.

Preferred skills

  • Qualification: A degree in Engineering, Computer Science, or a related field.
  • Experience: Fresher (0-1 Year)
  • An additional degree or coursework in AI/ML or a related field is an added advantage.
  • Basic understanding of machine learning concepts and algorithms.
  • Good knowledge of programming languages such as Python (required) and optionally Java and C++.
  • Familiarity with popular machine learning frameworks and libraries like scikit-learn, TensorFlow, PyTorch, Keras, Theano, pandas, NumPy, and SciPy is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Enthusiasm for learning and a strong desire to build a career in AI/ML.