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.
- Robust 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.

📌 Staff AI Engineer (Bengaluru)
🏢 WeRemoteDevs
📍 Bengaluru