Netlink Software Group America Inc
From Netlink Software Group America Inc's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Design and build recommendation models for retention, cross-sell, next-best-action, and quantity prediction.
Develop advanced deep learning recommenders using neural collaborative filtering, two-tower architectures, deep embeddings, sequence-based models, and transformer-based approaches.
Build customer, product, and interaction embeddings for personalized recommendations and ranking.
Develop scalable feature engineering, training, evaluation, and inference pipelines on Azure Databricks.
Design robust evaluation approaches including temporal validation, ranking metrics, explainability, and A/B testing.
Productionize models with MLflow, automated retraining, model monitoring, drift detection, and CI/CD.
Independently own the data science lifecycle from problem formulation through production deployment and continuous improvement.
5+ years of hands-on experience in Data Science and Machine Learning, including production-grade ML solutions.
Advanced degree such as M.Tech, MS, MSc, or PhD in Computer Science, Computing, Mathematics, Statistics, or a related quantitative discipline.
Academic background from a Tier 1 or Tier 2 engineering, science, or technology institution.
Strong expertise in deep learning and modern recommender-system architectures.
Strong hands-on experience with Python, PySpark, SQL, PyTorch or TensorFlow, Azure Databricks, and MLflow.
Strong understanding of embeddings, ranking, personalization, model evaluation, explainability, MLOps, and production deployment.
Ability to independently architect and build complex ML solutions and work effectively with engineering and business teams.
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