2. AI-ML Developer
Required Skills and Experience
Knowledgeable with AI Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e. CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Responsibilities
Design machine learning systems
Research and implement machine learning algorithms and tools
Manage and direct research and development processes to meet the needs of our AI strategy
Develop machine learning applications in alignment with project requirements and business goals
Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems
Select appropriate datasets and data representation methods
Extend existing machine learning libraries and frameworks
Train systems and retrain as necessary
Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
Advise leaders on technology, strategy, and policy issues related to AI/M
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