Senior Artificial Intelligence Engineer

22 hours ago

Chennai, Tamil Nadu, India iLink Digital Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Requirements
We are seeking a Senior AI Engineer with a strong foundation in machine learning, deep learning, and large-scale data processing. The ideal candidate will lead the development and deployment of AI/ML models, drive innovation, and collaborate with cross-functional teams to create intelligent systems that solve real-world business problems.

Key Responsibilities

  • Design, build, and deploy AI/ML models for use cases such as recommendation engines, NLP, computer vision, forecasting, and predictive analytics.
  • Lead model experimentation, validation, and optimization efforts to ensure performance and accuracy.
  • Develop and maintain MLOps pipelines for model versioning, deployment, and monitoring.
  • Collaborate with data scientists, data engineers, and software developers to integrate models into production systems.
  • Stay updated with the latest AI research and industry trends and translate them into actionable projects.
  • Mentor junior engineers and contribute to AI best practices and coding standards.
  • Ensure ethical AI usage, data privacy, and bias mitigation in models and datasets.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. PhD is a plus.
  • 5+ years of experience in AI/ML model development and deployment.
  • Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.
  • Strong knowledge of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and data preprocessing techniques.
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
  • Familiarity with data pipelines, SQL/NoSQL, and scalable data platforms.
  • Solid understanding of MLOps practices, CI/CD for ML, and tools like MLflow, Kubeflow, or SageMaker.

Preferred Skills

  • Experience with LLMs and Generative AI (e.g., GPT, BERT, Stable Diffusion).
  • Domain knowledge in [insert industry : e.g., healthcare, fintech, retail].
  • Knowledge of Edge AI, reinforcement learning, or real-time inference systems.
  • Contributions to open-source projects, patents, or AI publications.

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