Ifour Technolab Pvt. Ltd. - Brownsburg, IN

posted about 2 months ago

Full-time - Mid Level
Brownsburg, IN

About the position

The Python with AIML Developer role at iFour Technolab involves designing and implementing machine learning systems and applications. The developer will be responsible for researching and applying various machine learning algorithms and tools to meet the company's AI strategy. This position requires collaboration with engineering and leadership teams to ensure that AI/ML solutions align with project requirements and business goals.

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 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 functional design, process design, prototyping, testing, and training of AI/ML solutions.
  • Advise leaders on technology, strategy, and policy issues related to AI/ML.

Requirements

  • Bachelor's degree in computer science, mathematics, or a related field.
  • 2+ years of experience applying AI to practical uses.
  • Experience with deep learning, NLP, and TensorFlow.
  • Experience writing robust code in Python, Java, and/or R.
  • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
  • Knowledge of basic algorithms and object-oriented and functional design principles.
  • Knowledge of data structures, data modeling, and software architecture.
  • Knowledge of math, probability, statistics, and algorithms.
  • Knowledge of machine learning frameworks such as Keras and PyTorch.
  • Knowledge of machine learning libraries such as scikit-learn.
  • Excellent communication skills.
  • Strong analytical and problem-solving skills.
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