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Artificial Intelligence Engineer

Posted 3 weeks ago

Details

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Compensation
Not disclosed
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Industry
Not disclosed
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Time commitment
Not disclosed
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Company size
Not disclosed

Skills

Amazon Web Services (AWS)
Artificial Intelligence (AI)
Generative AI
Machine Learning
PyTorch
Scikit-Learn
TensorFlow

Job description

Experience- 5+Years

Location - United States & Singapore

Industry- Information Technology / CPAAS

The Job Responsibilities:

  • Assist in developing and deploying AI models and algorithms to solve business problems using machine learning techniques.
  • Develop prototypes and production models using machine learning frameworks such as TensorFlow, Keras, PyTorch, etc.
  • Collaborate with cross-functional teams to integrate AI models into existing systems and workflows, ensuring responsible AI practices are followed.
  • Implement end-to-end training pipelines, including data preprocessing, model training, evaluation, and deployment.
  • Continuously research and stay up-to-date with recent advancements in the AI landscape, applying novel techniques and methodologies to improve our models.
  • Conduct experiments and benchmarking to assess the performance of various model architectures
  • Enhance inference infrastructure to reduce serving cost and latency
  • Work with DevOps team to define deployment strategy and infrastructure for models ensuring model development is deployable at scale.
  • Create operational testing strategies, enable software quality teams to validate and test models, and ensure the quality of the delivered solutions.
  • Help improve code quality through writing unit tests, automation and performing code reviews
  • Have a fanatical attention to quality

What we are looking for-

  • 5+ years of relevant work experience
  • Solid background in Artificial Intelligence & Machine Learning techniques and deployment and cloud-based computing
  • Extensive experience in machine learning algorithms (classification, regression, forecasting, clustering , optimization, Bayesian statistics, and reinforcement learning), AI techniques (Generative AI, probabilistic reasoning, natural language processing, statistical analysis (including uncertainty analysis) and signals processing
  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn
  • Enthusiasm and independence, with a willingness to take ownership of tasks
  • A passion for solving challenging problems
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