Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About the Role:

AI Engineer


Key Responsibilities:

  • Design, build, and deploy AI/ML models for real-world applications.
  • Preprocess and analyze large datasets to derive meaningful insights.
  • Collaborate with software engineers, data scientists, and product teams to integrate AI capabilities.
  • Optimize model performance, scalability, and maintainability.
  • Research and implement cutting-edge AI algorithms and frameworks.
  • Maintain clear documentation for AI workflows, model training, and deployment processes.
  • Monitor and fine-tune deployed models to ensure accuracy and relevance.


Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong proficiency in

    Python

    and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Experience with NLP, computer vision, or predictive analytics projects.
  • Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML deployment.
  • Solid understanding of data structures, algorithms, and software engineering principles.
  • Hands-on experience with data preprocessing, feature engineering, and model evaluation.
  • Strong problem-solving skills and ability to work independently.


Preferred Qualifications:

  • Experience in large language models (LLMs) or generative AI.
  • Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).
  • Exposure to big data tools like Spark, Hadoop, or Databricks.

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