Data Science Engineer for AI Innovation

3 days ago

India AKS ProTalent Full time

We are actively searching for a talented and experienced Data Science Engineer to join AKS ProTalent. As a Data Science Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.

Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. To thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles.

Responsibilities
  • Study and transform data science prototypes into efficient self-learning applications that can adapt and evolve over time.
  • Design machine learning systems using industry-standard frameworks and tools.
  • Research and implement appropriate ML algorithms and tools to drive innovation in AI technology.
  • Develop machine learning applications according to requirements, leveraging Python, Java, and R programming languages.
  • Select appropriate datasets and data representation methods to inform model development.
  • Run machine learning tests and experiments to validate model performance.
  • Perform statistical analysis and fine-tuning using test results to optimize system performance.
  • Train and retrain systems when necessary to ensure accuracy and efficiency.
  • Extend existing ML libraries and frameworks to enhance their capabilities.
  • Stay up-to-date with developments in the field of AI and machine learning.

Requirements and skills include:

Qualifications
  • Proven experience as a Data Science Engineer or similar role, preferably in a team environment.
  • Understanding of data structures, data modeling, and software architecture.
  • Deep knowledge of math, probability, statistics, and algorithms.
  • Ability to write robust code in Python, Java, and R.
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
  • Excellent communication skills to collaborate effectively with colleagues.
  • Ability to work in a fast-paced environment and adapt to changing priorities.
  • Outstanding analytical and problem-solving skills to drive innovation in AI technology.

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