- 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.
- Team-oriented 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.
📌 Staff AI Engineer (Bengaluru)
🏢 WeRemoteDevs
📍 Bengaluru
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