with strong expertise in Python, PyTorch, and algorithm development. The role involves building scalable AI pipelines, optimizing model performance, and collaborating with algorithm experts to convert research into production-grade solutions.
Core Responsibilities
-------------------------
Implement and maintain
PyTorch-based training and inference pipelines
Develop
modular and reusable code
for data handling, model serving, and evaluation
Optimize
training and inference performance
while maintaining accuracy
Improve
data transfer efficiency
across systems (e.g., Windows Linux) using gRPC or similar protocols
Ensure
high code quality
through testing, documentation, and CI/CD
Support deployment of AI models into
production systems or internal tools
Work closely with algorithm experts to convert research models into
scalable engineering solutions
Minimum Qualifications
--------------------------
MS/MTech
degree with
5+ years of experience
in algorithm or AI/ML development
Strong expertise in
Python
and
PyTorch
Solid understanding of
software testing, version control, and deployment practices
Preferred Qualifications
----------------------------
Experience with
data serialization and communication protocols
(gRPC, protobuf, shared memory, etc.)
Familiarity with
cross-platform system integration
(Windows/Linux)
* Strong
mathematics foundation
(linear algebra, probability, optimization)
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