DE&A - AIML - Data Science - Machine Learning

Analyst – Data Science 3-8 yrs 

 

1. Design and implement machine learning pipelines that curate datasets, train, test, and validate models, and deploy them into production.
2. Utilize LLMs and Generative AI techniques to enhance data analysis, natural language processing, and predictive modeling capabilities.
3. Apply supervised, unsupervised, and deep learning techniques to address business challenges, including the development of recommendation engines and scoring systems.
4. Conduct A/B testing and utilize statistical techniques to evaluate model performance and improve outcomes.
5. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and processes.
6. Proficient in model building using R or Python, with a strong focus on data mining and leveraging large datasets.
7. Demonstrated ability to design and build machine learning pipelines, including model training, validation, and deployment.
8. Deep understanding of statistical and machine learning modeling, with experience applying these techniques to real-world business problems.
9. Hands-on experience with analytics and big data technologies, particularly within Microsoft Azure, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
10. Working knowledge of machine learning frameworks and tools such as scikit-learn, TensorFlow, PyTorch, and ONNX.
11. Experience with LLMs and Generative AI frameworks, including fine-tuning and deploying models for specific applications.
12. Experience with cloud service machine learning platforms, preferably Azure, and setting up data and experimental platforms.
13. Extensive knowledge of model management, ideally using Azure ML service and/or ML Flow, as well as deployment using Azure Kubernetes Service.