Job Summary:

We are seeking a highly skilled AI Engineer to design, develop, and deploy AI-driven solutions that enhance business operations and decision-making. The ideal candidate will have expertise in machine learning, deep learning, and natural language processing (NLP), along with strong programming and problem-solving skills.

Key Responsibilities:

  • Design, develop, and implement AI models and algorithms to solve complex problems.
  • Train, test, and optimize machine learning models for accuracy and efficiency.
  • Work with large datasets, ensuring data preprocessing, augmentation, and validation.
  • Develop and integrate AI-powered applications using Python, TensorFlow, PyTorch, or similar frameworks.
  • Collaborate with data scientists, software engineers, and business teams to understand requirements and translate them into AI solutions.
  • Deploy AI models into production environments and optimize their scalability and performance.
  • Research and stay up-to-date with the latest advancements in AI, ML, NLP, and computer vision.
  • Ensure AI models comply with ethical AI standards and data privacy regulations.
  • Monitor AI solutions, troubleshoot issues, and improve models over time.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
  • Strong experience in machine learning, deep learning, and NLP.
  • Proficiency in Python, R, Java, or C++, with expertise in AI libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Knowledge of cloud computing platforms (AWS, Azure, Google Cloud) and AI deployment methods.
  • Experience with Big Data technologies (Hadoop, Spark) is a plus.
  • Solid understanding of data structures, algorithms, and software development principles.
  • Experience in working with REST APIs, AI-driven applications, and automation workflows.
  • Strong problem-solving skills and ability to work in cross-functional teams.

Preferred Qualifications:

Publications or research in AI-related fields are a plus.

Experience with Generative AI, LLMs (e.g., GPT, BERT), and Reinforcement Learning.

Familiarity with MLOps, Model Monitoring, and AI Model Explainability.

Knowledge of AI ethics, bias detection, and responsible AI development.

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