Data Science 4+ years

Job Title : Data Science

Core Experience:

·        4+ years designing, developing, and deploying ML models in production

·        1+ year in recommendation systems, pattern recognition, NLP, or time series modelling

·        Production-grade Python, Java, or C/C++

·        Large-scale software architecture

·        APIs and model versioning systems

ML/AI Skills :

Python, PyTorch, TensorFlow, scikit-learn, Classification algorithms, Regression algorithms, Support Vector Machines (SVM), ARIMA, Ensemble methods, Deep Learning, Neural Networks

Mathematics & Statistics:

Probability theory, Statistical modeling (generative and discriminative)

Cloud & Platforms:

Azure ML, Google Cloud Platform, AWS SageMaker

DevOps / MLOps:

CI/CD pipelines, GitHub Actions, Terraform, Docker, Kubernetes

Preferred Industry Experience:

Finance, Healthcare, Insurance

Deep Learning Architectures

CNNs, RNNs, Transformers, GANs

GPU Acceleration:

CUDA, Rapids, NeMo, NIM

Model Ops:

Model evaluation, Distributed training, Hyperparameter optimization

Big Data / Streaming:

Spark, Kafka, Redis, ElasticSearch

Automation & Containerization:

GitHub Actions, Terraform, Helm, Docker, Kubernetes

System Architecture:

API & Microservices, Large-scale real-time AI/GenAI/ML solutions

Responsible AI:

Model interpretability

Fairness auditing

Additional Application Modules/Area knowledge

• Project Costing

• Project Billing

• Property Management