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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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Vertex AI Integration:o Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP.o Implement and manage machine learning pipelines and models within the Vertex AI environment.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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Hands on experience in dealing with structured and unstructured data from multiple sources and applying machine learning techniques and algorithms to discover patterns, intents and build knowledge repositories and graphs to solve enterprise problems.
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Minimum THREE (3) years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. SG Analytics (SGA), a Global Insights and Analytics company, focuses on ESG, Data Analytics, and Investment & Market research services.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Extensive hands-on experience working with large datasets using tools like AWS SageMaker, Python, R, and SQL. Strong knowledge of various pharmaceutical data sources, including patient claims data from IQVIA/SHA, sales force activity data, physician prescription data, and real-world evidence data such as MarketScan and Optum claims.
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Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. New York City (Hybrid On-Site): $181,000 - $181,000 for Data Science PhD InternSan Francisco, California (Hybrid On-site): $191,000 - $191,000 for Data Science PhD Intern.
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Our Engineering team is seeking engineers with strong skills and hands-on experience in designing, constructing, and optimizing large-scale distributed systems, with a particular emphasis on machine learning infrastructure.
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4- 8 years of experience as machine learning engineer/data scientist. Aggregate huge amounts of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models for prediction and forecasting.
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Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning.
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