Machine Learning, Pyspark, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, Gcp, MLops, Spark, Azure, Python, AWS, Generative AI, LLMs, Statistical Modeling

Data Transformation, Python Programming, logic-based workflows, data pipeline development, SQL proficiency, Dataiku, analytics and data manipulation competencies, Excel-like analytical methods

statistical data analysis , Machine Learning, Natural Language Processing, Jira, Sql, Gitlab, Clustering, Python, UNIX command line, anomaly detection, Classification, data analysis libraries, ML Ops, Agile development frameworks, Azure AI Search, feature engineering

Machine Learning, Nlp, Opencv, Keras, Predictive Analytics, Python, Tensorflow, Cv

Pyspark, SAS, Tensorflow, Pytorch, Spss, Keras, Python, KubeFlow, Great Expectations, R, MXNet, Evidently AI, CNTK, Sci-Kit Learn, BentoML

data engineering , Gcp, MLops, Azure, Python, AWS, Airflow, Generative AI, Data Streaming Technologies, MLflow, Kubeflow, Prompt Engineering

GCP), cloud infrastructure metrics (Azure, Machine Learning, Sql, Tensorflow, AWS, Pandas, Python, endpoint data, supervised models, scikit-learn, LLMs, ITSM data structures, SLMs, integration workflows, model deployment, incident lifecycle, Statistical Modeling, MLOps frameworks, operational KPIs, time-series analysis, log analytics, ServiceNow performance analytics

Python, Generative AI, AI orchestration patterns, Evaluation, fine-tuning, Agentic AI, knowledge graphs, model training, Optimization, transformer-based architectures, semantic reasoning, AI pipelines, reinforcement learning, AI frameworks