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Staff AI Engineer

4 months ago

bangalore, India We Remote Devs (WRD) Pvt Ltd. Full time

Responsibilities:

  • Design and develop a range of classical and deep learning algorithms for modeling complex interactions within enterprise environments.
  • Create algorithms for statistical modeling of cybersecurity risks.
  • Utilize data-mining, AI, and graph analysis techniques for various challenges, including modeling, relevance determination, and recommendation systems.
  • Deliver production-quality solutions that balance complexity and efficiency.
  • Participate in the engineering life-cycle at Balbix, including designing ML infrastructure and data pipelines, writing production code, conducting code reviews, and collaborating with infrastructure and reliability teams.
  • Drive the architecture and utilization of open-source numerical computation libraries such as TensorFlow, PyTorch, and ScikitLearn.

Requirements
  • Ph.D./M.S. in Computer Science or Electrical Engineering with hands-on software engineering experience.
  • Minimum of 5 years' experience in machine learning and Python programming.
  • Expertise in programming fundamentals and building large-scale systems.
  • Knowledge of state-of-the-art algorithms, statistical analysis, and modeling techniques.
  • Strong understanding of NLP, Probabilistic Graphical Models, Deep Learning with graph structures, and model explainability.
  • Foundational knowledge of probability, statistics, and linear algebra.
Desired Skills:
  • Ability to tackle complex problems, learn quickly, and persist until finding robust solutions.
  • Passion for building practical and user-friendly systems.
  • Collaborative mindset, comfortable working across teams.
  • Ownership mentality towards challenging problems.
  • Excellent communication skills and documentation practices.
  • Comfort with ambiguity and ability to design algorithms for evolving needs.
  • Intuitive understanding of selecting appropriate models for different product requirements.
  • ·Curiosity about the world and profession, with a commitment to continuous learning.