https://bayt.page.link/E2uVKvX3zbXyq3L2A
أنشئ تنبيهًا وظيفيًا للوظائف المشابهة

الوصف الوظيفي

Devsinc is seeking a Senior AIML Engineer to join its dynamic team.


  • Develop, deploy, and design machine learning models to solve complex business problems.
  • Implement and maintain AI/ML solutions in production environments.
  • Analyze large datasets, collect, and preprocess them to extract meaningful insights.
  • Ensure data integrity and quality through robust data validation and cleaning processes.
  • Research and apply advanced algorithms in machine learning, deep learning, and statistical modeling.
  • Optimize algorithms for performance, scalability, and accuracy.
  • Collaborate closely with cross-functional teams, such as data scientists, software engineers, and product managers, to understand requirements and deliver solutions.
  • Effectively communicate complex technical concepts to non-technical stakeholders.
  • Keep up-to-date with the latest advancements in AI/ML and data science to incorporate new techniques and methodologies.
  • Participate in code reviews, knowledge sharing sessions, and contribute to the team's growth and improvement.
  • Lead and manage AI/ML projects from inception to deployment.
  • Track project progress, manage timelines, and deliver high-quality results within deadlines.
  • Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and variational autoencoders.
  • Proficiency in advanced machine learning frameworks like TensorFlow, PyTorch, Theano, Caffe, SciKit-Learn, and Keras.
  • Experience with NLP and Computer Vision tools and libraries.
  • Knowledge of reinforcement learning techniques and frameworks.
  • Proficient in using databases and data processing tools like SQL, NoSQL, or similar.
  • Experience in developing APIs using web frameworks.
  • Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.
    Familiarity with data visualization tools.
  • Familiarity with tools such as Jupyter, Git, Docker, and cloud platforms like AWS, GCP, or Azure.
  • Experience with big data technologies such as Hadoop, Spark, or similar is a plus
  • Experience with LLMs is a plus.
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