Data Scientist/Machine Learning Engineer - Berkeley, CA. at Berkeley, California, USA |
Email: [email protected] |
Hi Hope you are doing great. Please go through the below mentioned requirement and send your updated word format resume if you are interested for this requirement. Role : Data Scientist/Machine Learning Engineer Location : Berkeley, CA ( Onsite ) Duration : 12 Months Rate : $60/HR on C2C Objectives of this role & responsibilities: 1. Collaborate with cross-functional teams, data scientist and SMEs to understand the domain specific data, select appropriate & diverse data set, perform feature selection and feature engineering. 2. Design, develop and implement machine learning algorithms and deep learning application and systems. 3. Study and transform business problems into machine learning algorithm and application. 4. Run machine learning experiments, train and monitor machine learning models to identify data drifts, irregularities/anomalies and document findings and results. 5. Analyze, improve and maintain existing AI/ML models and solutions. 6. Build and maintain robust and optimized data pipelines 7. Establish performance metrics including accuracy, precision, recall, F1, ROC, AUC to understand model effectiveness. 8. Explore potential applications of GenAI, RAG, Computer vision, Time series and other AI/ML solutions in healthcare domain. 9. Stay up to date with latest advancements in AI/ML industry and incorporate new knowledge and techniques into ongoing projects Skills: 1. Strong problem-solving skills and ability to work independently in fast-paced dynamic environment. 2. 3-7 years of strong industry experience in building and deploying machine learning models in Windows/Linux production environment using Python, PyTorch, TensorFlow. 3. Expert in Deep Learning, Natural Language Understanding and Processing (NLU/NLP). 4. Strong knowledge of Computer vision, LLM and Generative AI, data visualization tools and building data pipelines. 5. Working knowledge of SQL and data analysis tools. 6. Excellent communication skills and ability to articulate complex concepts to non-technical stakeholders. 7. Nice to have a. Experience in building RAG (Retrieval Augmented Generation) solutions and Time service forecasting. b. Working knowledge of Azure/AWS/Google cloud AI and machine learning products and services. Thanks & Regards, Mahesh Technical Recruiter -- Keywords: artificial intelligence machine learning information technology golang California Data Scientist/Machine Learning Engineer - Berkeley, CA. [email protected] |
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Wed Aug 07 00:06:00 UTC 2024 |