Data Science and AI Professional

4 days ago


Rawalpindi Cantonment, Pakistan NERD FLOW (PVT) LTD. Full time

As a Junior AI Engineer at NERD FLOW (PVT) LTD., you will be part of a dynamic team that is passionate about harnessing the power of AI to drive innovation. Our ideal candidate will have a solid foundation in machine learning, deep learning, and AI development, with experience in building and optimizing AI models, data preprocessing, and deploying AI-powered applications.

Key Responsibilities
  1. Developing and Deploying AI Models: Design, develop, and deploy AI/ML models, working with large datasets to preprocess, clean, and analyze data.
  2. Collaborating with Software Engineers: Collaborate with software engineers to integrate AI models into applications, ensuring seamless deployment and scalability.
  3. Staying Up-to-Date with AI Advancements: Stay updated with the latest advancements in AI and ML, applying new techniques and tools to drive innovation.
  4. Optimizing AI Model Performance: Optimize deep learning and machine learning algorithms to improve model performance, reducing latency and improving accuracy.
Nice to Have
  1. Experience with NLP, Computer Vision, or Generative AI: Hands-on experience with NLP, Computer Vision, or Generative AI, with a strong understanding of its applications and limitations.
  2. Familiarity with Cloud Platforms: Familiarity with cloud platforms like AWS, GCP, or Azure, with experience in deploying and managing AI models in the cloud.
  3. Ai Model Deployment and Optimization: Experience with AI model deployment and optimization, with a focus on improving model performance and reducing latency.
Qualifications
  1. Bachelor's Degree in Computer Science or Related Field: A Bachelor's degree in Computer Science, AI, Data Science, or a related field, with a strong foundation in programming, mathematics, and statistics.
  2. Basic Experience with Python and AI/ML Frameworks: Basic experience with Python and AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, etc.
  3. Data Structures, Algorithms, and Statistical Modeling: Understanding of data structures, algorithms, and statistical modeling, with the ability to apply these concepts to real-world problems.
  4. Strong Problem-Solving Skills: Strong problem-solving skills, with the ability to think critically and approach complex challenges in a methodical and efficient manner.


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