- Senior Engineer - AI, with Technology domain having 5.0-7.0 years of experience, the ideal candidate should possess advanced skills in Machine Learning, demonstrating expertise in developing algorithms and models that can learn from and make predictions based on data.
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They should have a deep understanding of various machine learning techniques, such as supervised and unsupervised learning, and be able to apply these techniques to solve complex problems in real-time applications within the AI domain.
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Proficiency in AI is crucial, requiring the candidate to have experience in designing and implementing AI-driven solutions that enhance operational efficiency and decision-making processes.
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Experience with Python is essential, as it serves as the primary programming language for implementing machine learning models and AI solutions, and the candidate should be adept at using Python libraries and frameworks, such as TensorFlow and PyTorch, for developing scalable machine learning applications.
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Candidates are expected to have a Master of Technology (M.Tech) in Machine Learning / Artificial Intelligence and a Bachelor of Technology (B.Tech) in Computer Science and Engineering with a Specialization in AI / Data Science.
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Preferred certifications include Microsoft Certified: Azure AI Engineer Associate and TensorFlow Developer Certificate, along with experience in Azure DevOps for CI/CD pipeline management and familiarity with Agile methodologies.
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Knowledge of scripting for automation tasks and the ability to work in a fast-paced environment while adapting to changing requirements are good to have.
AI, Azure DevOps, Machine Learning, Python
