AI Engineer

WhiteLotus Talent Partners Pvt Ltd
CA, United States
Full-time
Quick Apply

Key Responsibilities

  • AI Model Development : Design, develop, and deploy high-performance machine learning models and advanced AI algorithms, leveraging state-of-the-art architectures.
  • Innovation and Research : Stay at the forefront of AI trends, exploring and implementing novel approaches in natural language processing (NLP), reinforcement learning, GANs, and other emerging AI paradigms.
  • Cross-Disciplinary Collaboration : Collaborate with data scientists, software engineers, and domain experts to deploy AI solutions that seamlessly integrate into larger systems.
  • Optimization and Efficiency : Continuously refine and optimize algorithms to maximize performance, scalability, and efficiency in real-time applications.
  • AI Ethics and Compliance : Ensure AI models adhere to ethical guidelines and data privacy regulations, promoting transparency and accountability in AI usage.
  • AI Lifecycle Management : Oversee the full lifecycle of AI solutions from ideation through to production, ensuring continuous improvement post-deployment.

Required Skills and Experience

  • Advanced Programming Skills : Proficiency in Python, TensorFlow, PyTorch, Keras, and other AI / ML libraries.
  • Cutting-Edge AI Proficiency : Hands-on experience with transformers, BERT, GPT, GANs, reinforcement learning, and real-time model deployment.
  • Data Engineering Expertise : Skilled in managing large datasets, data preprocessing, and data pipeline creation (experience with Apache Spark or Hadoop is a plus).
  • Algorithmic Innovation : Demonstrated capability in developing new algorithms or significantly improving existing ones to push the boundaries of AI.
  • Cloud AI Platforms : Experience with cloud-based AI services such as AWS SageMaker, Google AI Platform, or Azure Machine Learning.
  • Math & Statistics : Strong grounding in probability, statistics, and machine learning algorithms, with the ability to tackle complex mathematical models.
  • Rare Skills Advantage : Background in quantum machine learning, federated learning, or edge AI deployment is a strong plus.
  • 3 hours ago
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