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Must-Have
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Strong
hands-on experience in Python development for AI/ML solutions.
Experience in building, training, validating, and deploying Machine
Learning models using libraries such as NumPy, Pandas, Scikit-learn,
or similar.
Strong understanding of Machine Learning algorithms, including
classification, regression, clustering, recommendation systems, forecasting,
and anomaly detection.
Experience in data preprocessing, feature engineering, exploratory data
analysis, model evaluation, and performance tuning.
Good understanding of Natural Language Processing (NLP) concepts and
applications.
Good knowledge of SQL and experience working with structured and
unstructured data.
Experience in developing and deploying AI/ML models in production
environments.
Knowledge of REST APIs, microservices-based integration, and
ente rprise application integration.
Understanding of MLOps concepts, including model versioning,
monitoring, CI/CD, retraining, and lifecycle management.
Hands on experience with at least one major cloud platforms (AWS,
Azure, GCP)
Strong analytical, problem-solving, and communication skills.
Experience working in Agile delivery environments and following
software engineering best practices.
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