AI/ML Engineer
1 week ago
Responsibilities
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Download, clean and organize datasets
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Implement deep learning models as per given specifications
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Read and present latest papers on deep learning architectures
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Setup deep learning foundation models for biological applications
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Implement data models as per given specifications
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Implement various visualization methods for large scale data
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Work closely with other team members and partners to identify most critical data-centered challenges and address them using cutting-edge computational, statistical and machine learning applications.
Requirements Required Qualifications and Skills:
- 1 – 3 years of experience and technical expertise in AI platforms, data platforms, deep learning models
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Solid understanding of computer science fundamentals
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data structures: trees, directed and undirected graphs, hash tables, heaps
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algorithms: search, sort, rank, graph based algorithms
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Solid understanding of statistical/mathematical concepts
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probability theory
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correlation metrics
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Bayesian probability
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Statistical regression methods
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Proficiency in Python, C, C
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Expertise in AI frameworks: PyTorch, TensorFlow
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Expertise in packages like matplotlib, pandas, seaborn
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Firm grasp of modern statistical methods and machine learning techniques, and their applications to large-scale, data
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Ability to drive highly collaborative work across the organization and outside the company
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Excellent oral and written communication skills
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