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Job Description
3+ years of experience in ML and AI, with a strong track record of leading and delivering complex ML and AI projects.
In-depth knowledge of ML and AI concepts, algorithms, and techniques, including supervised and unsupervised learning, reinforcement learning, and neural networks.
Proficiency in programming languages such as Python, R, or Scala, along with ML and AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience in applying ML and AI techniques to solve real-world problems in areas such as recommendation systems, fraud detection, natural language processing, or computer vision.
Strong understanding of data engineering principles and experience working with large-scale datasets.
Excellent leadership and people management skills, with the ability to motivate and inspire a team of data scientists and engineers.
Proven ability to translate business requirements into ML and AI solutions and effectively communicate technical concepts to non-technical stakeholders.
Strong analytical and problem-solving skills, with the ability to think strategically and drive innovation.
Excellent communication, presentation, and interpersonal skills.
Minimum Qualification
Bachelors or Masters degree in Computer Science, Data Science, or a related field.