Posted:2 weeks ago|
Platform:
On-site
Full Time
Role Responsibilities: Design and deploy ML solutions in enterprise and cloud-native environments Develop AI/ML models using tools like TensorFlow, SageMaker, and MLOps pipelines Implement NLP, LLMs, and deep learning techniques for real-world applications Create dockerized AI models with scalable deployment architecture Job Requirements: Strong programming in Python, Java, R, or Scala Hands-on experience in ML frameworks, visualization, and cloud AI tools Proven expertise in Docker, AWS AI services, and model lifecycle management Strong statistical modeling, architectural thinking, and problem-solving skills
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