Lead process improvement, transformation, effective use of innovative technology and data and analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for your firm.

More Uses of the TensorFlow Toolkit:

  • Collaborate closely with team members on developing systems from prototyping to production level.
  • Collaborate with colleagues to develop analysis methods and algorithms to solve complex computational research problems.
  • Stay abreast of current industry and organization compiler research and communicate key ideas to others at Mythic.
  • Be accountable for developing image quality control architecture to ensure the quality and validity of training and real time images.
  • Ensure the effective collection, organization and distribution of data from a variety of data sources.
  • Explore and investigate different model types and techniques to improve machine learning performance.
  • Systematize: design and develop machine learning predictive models for various business problems using python and TensorFlow.
  • Manage: by converting contracts, unstructured legal language, into structured data, you help clients understand risk and identify opportunities.
  • Ensure you direct; lead research in advanced Artificial Intelligence, Machine Learning, and Deep Learning, majorly focusing on the long term research topics.
  • Keep your customers data and money secure by Identifying fraudsters and preventing fraudulent transactions.
  • Lead: formal training in dimensionality reduction, clustering, and sequence classification algorithms.
  • Pilot: successfully implement development processes, coding best practices, and code review for production environments.
  • Ensure you produce; build quick proof of concepts (POC) and project ownership around projects that can demonstrate utilization, value and lead to scalable solutions.
  • Write clean, organized machine learning code using standard software engineering methodologies.
  • Ensure frequent communication with stakeholders to drive use case development and manage expectations of model limitations.
  • Pilot: design, develop, and integrate software systems and architectures necessary to realize research prototypes.
  • Make sure that your business contributes to research designs, develops prototype implementations, and participates in the preparation of papers describing the research.
  • Coordinate: probabilistic models and bayesian models, machine/deep learning, reinforcement learning, and human in the loop online learning.
  • Warrant that your business utilizes creativity and innovation to solve conceptual programming problems raised by cutting edge research.
  • Organize: team oriented, start up mindset, innovative and dynamic environment, which encourages growth and provides opportunities to make an impact.
  • Steer: conduct applied research and development in natural language processing, deep learning, and machine learning.
  • Control: adequate programming knowledge and skills to write clean and reasonable production level codes.
  • Ensure you mastermind; build behavior modeling framework to understand and predict interactions between human and machine.
  • Standardize: conduct advance exploratory data analysis to discover statistically significant patterns and opportunities in your data.
  • Collaborate and knowledge share with internal stakeholders to ensure single source of truth for all data.
  • Apply expert coding skills to platform development projects in partnership with other engineers.
  • Oversee: research, prototype and develop innovative algorithms and solutions for real time object detection, instance segregation and object tracking.
  • Coordinate with engineering teams on the successful execution of the release of compiler products.
  • Establish: each member of the team is expected to challenge and to be challenged, to create, and to innovate.
  • Develop more usable machine/deep learning tools for improving system performance and mobility safety.

 

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