
AI Engineer
2 days ago
Role Summary
The
Vidur AI Engineer
will design and build advanced AI systems with a focus on
explainability (XAI), DAG-based reasoning, hybrid architectures, and agentic AI
. Success means creating models that are high-performing, interpretable, and usable in real-world, high-stakes settings. This role bridges research and application, ensuring AI solutions align with organizational goals of
trust, scalability, and impact
.
Responsibilities
- Develop and implement
XAI techniques
to make models transparent and trustworthy. - Build and optimize
DAG-based reasoning and causal inference models
. - Integrate
hybrid AI systems
combining symbolic and neural approaches. - Design
agentic AI systems
with clear interpretability and autonomy. - Evaluate models for interpretability, fairness, and robustness.
- Collaborate with teams to translate research into scalable applications.
- Communicate findings through reports, presentations, or publications.
Qualifications
- Strong skills in
ML/DL, XAI methods, and graph-based modeling
. - Proficiency in
Python, PyTorch/TensorFlow, and graph libraries
. - Background in
hybrid AI, multi-agent systems, or reinforcement learning
. - Excellent
verbal and written communication skills
. - Bachelor's/Master's in
CS, AI, Data Science, or related field
(Ph.D. preferred). - Experience in
research or applied AI projects
; publications a plus. - Knowledge of
ethical/responsible AI principles
.
-
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