Machine Learning and Engineering Expert

4 days ago


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

We are seeking a highly motivated and detail-oriented Junior AI Engineer to join our team at NERD FLOW (PVT) LTD. As a key member of our AI engineering team, you will be responsible for designing, developing, and deploying AI/ML models, working closely with software engineers to integrate AI models into applications.

Key Responsibilities
  1. Data Analysis and Preprocessing: Work with large datasets to preprocess, clean, and analyze data, applying machine learning and deep learning techniques to extract insights.
  2. Model Development and Optimization: Develop and optimize AI models, using deep learning and machine learning algorithms to improve model performance and reduce latency.
  3. Collaboration and Communication: Collaborate with software engineers and other stakeholders to ensure seamless integration of AI models into applications, communicating technical ideas effectively.
  4. Staying Current with AI Trends: Stay updated with the latest advancements in AI and ML, applying new techniques and tools to drive innovation and improvement.
Nice to Have
  1. Hands-on 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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