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R 10/63, Chitrakoot Scheme,
Vaishali Nagar, Jaipur, Rajasthan
302021, India

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Montgomery, Alabama USA,
36104

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3DJ, United Kingdom

AI Developer

Unlock your potential at GenX! As an AI Developer, create transformative solutions, enhance cutting-edge technologies, and accelerate your career with impactful projects and innovation.
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AI Developer

Experience: 3-4 Years Location: Jaipur Qualification: B-tech/MBA

Job Details

  • Develop and implement AI algorithms and machine learning models based on business requirements.
  • Optimize and improve the performance of existing AI models.
  • Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate AI models into products and applications.
  • Design, test, and deploy AI systems and applications using industry-standard frameworks and libraries (such as TensorFlow, PyTorch, etc.).
  • Conduct thorough analysis of large datasets, ensuring the quality and accuracy of the data used for model training.
  • Stay updated with the latest trends and advancements in AI, machine learning, and data science.
  • Work with cloud platforms (AWS, GCP, Azure) to deploy scalable AI solutions.
  • Document code, models, and methodologies clearly for internal use and future reference.

Must Have

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 3-4 years of experience working with AI and machine learning frameworks (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
  • Strong programming skills in Python, Java, or C++.
  • Experience with data processing, cleaning, and transformation techniques.
  • Familiarity with cloud platforms and deploying AI solutions in a cloud environment.
  • Good understanding of data structures, algorithms, and mathematical concepts used in AI/ML.
  • Ability to work in a collaborative environment and communicate technical concepts effectively.
  • Strong problem-solving skills and attention to detail.
  • Experience with deep learning and neural networks.
  • Knowledge of reinforcement learning or natural language processing (NLP).
  • Familiarity with containerization technologies like Docker or Kubernetes.
  • Experience with big data technologies (Hadoop, Spark).
  • Understanding of DevOps practices and tools for continuous integration/continuous deployment (CI/CD).

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