Walmart Data Science Jobs in Dallas, TX (NOW HIRING)

Job Summary:
Syntricate Technologies is seeking a Data Scientist with Gen AI experience. The role involves deploying and implementing AI models, with a focus on classical and deep learning algorithms, as well as operationalizing models using Google Cloud and MLOps.
Responsibilities:
• AI/Client model deployment/implementation skills are must for Walmart
• Expertise with classical Client algorithm like K-NN, LSH, logistic regression, linear regression, SVM, Random forest and clustering.
• Good understanding of Client & DL algorithms and frameworks (Scikit-learn,Spacy, Tensorflow/Keras/ PyTorch)
• Experience in deep learning Algorithms like MLP, CNN, RNN, LSTMs and GANs, Transformers and LLMs.
• Excellent programming skills in Python
• Expertise in Google Cloud and operationalization of models using MLOPs.
• Proven experience in deploying real-time AI/Client models using Google Cloud Platform.
• Strong programming skills in Python and PySpark.
• Proficiency with SQL and relational databases, data warehouses, and BigQuery.
• Experience in scaling marketing-related AI/Client solutions such as cross/upsell, recommended systems, and category propensity.
• Experience in deploying and managing Large scale Machine Learning Models is a plus
• Expertise with classical Client algorithm like K-NN, LSH, logistic regression, linear regression, SVM, Random forest and clustering.
• Good understanding of Client & DL algorithms and frameworks (Scikit-learn,Spacy, Tensorflow/Keras/ PyTorch)
• Experience in deep learning Algorithms like MLP, CNN, RNN, LSTMs and GANs, Transformers and LLMs.
• Excellent programming skills in Python
• Expertise in Google Cloud and operationalization of models using MLOPs.
• Experience in scheduling jobs for automated training and inference of AI/Client models using airflow or any other workflow orchestration platform.
• Proficiency in collecting data from different data sources, data cleaning, preprocessing, and feature engineering.
• Understanding of regression, classification, and unsupervised Client algorithms.
• Experience in mentoring junior associates in scaling AI/Client models.
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication skills, with the ability to present and explain complex concepts to both technical and non-technical audiences.
Qualifications:
Required:
• AI/Client model deployment/implementation skills are must for Walmart
• Expertise with classical Client algorithm like K-NN, LSH, logistic regression, linear regression, SVM, Random forest and clustering.
• Good understanding of Client & DL algorithms and frameworks (Scikit-learn, Spacy, Tensorflow/Keras/ PyTorch)
• Experience in deep learning Algorithms like MLP, CNN, RNN, LSTMs and GANs, Transformers and LLMs.
• Excellent programming skills in Python
• Expertise in Google Cloud and operationalization of models using MLOPs.
• Proven experience in deploying real-time AI/Client models using Google Cloud Platform.
• Strong programming skills in Python and PySpark.
• Proficiency with SQL and relational databases, data warehouses, and BigQuery.
• Experience in scaling marketing-related AI/Client solutions such as cross/upsell, recommended systems, and category propensity.
• Experience in deploying and managing Large scale Machine Learning Models is a plus
• Experience in scheduling jobs for automated training and inference of AI/Client models using airflow or any other workflow orchestration platform.
• Proficiency in collecting data from different data sources, data cleaning, preprocessing, and feature engineering.
• Understanding of regression, classification, and unsupervised Client algorithms.
• Experience in mentoring junior associates in scaling AI/Client models.
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication skills, with the ability to present and explain complex concepts to both technical and non-technical audiences.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.