eTeam
Data Scientist - II
eTeam, Ashburn, Virginia, United States, 22011
Title: Data ScientistLocation: Ashburn, VA (Hybrid)Duration: 12+ Months
Working Model: Worksite-based- Prefer 4 days a week in office.But I can compromise to 3 days if needed
Responsibilities:• Be part of development of Gen AI solutions• Troubleshoot various activities and rectify any problems that arise in the end-to-end model pipeline• Test and validate AI Models. Deploy and manage models throughout the end to end lifecycle.• Industrialize the model pipeline which includes Testing & validation of the model pipeline• Be part of the requirements for new enhancements in model/solution• Propose new ideas/solutions that can be helpful for the project overall• Analyze and understand problems and issues to convert these insights into system requirements• Build scalable and high performance Machine Learning and Data Mining algorithms
Qualifications:Minimum 3 years of experience developing production-level Python applications.Strong understanding of AI/ML concepts and algorithms, including experience with prediction models.Hands-on experience building and deploying generative AI models.Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience working with vector databases and Cassandra is highly desirable.Strong understanding of best practices for deploying and scaling machine learning models.Excellent problem-solving and analytical skills.Strong communication and collaboration skills.
Working Model: Worksite-based- Prefer 4 days a week in office.But I can compromise to 3 days if needed
Responsibilities:• Be part of development of Gen AI solutions• Troubleshoot various activities and rectify any problems that arise in the end-to-end model pipeline• Test and validate AI Models. Deploy and manage models throughout the end to end lifecycle.• Industrialize the model pipeline which includes Testing & validation of the model pipeline• Be part of the requirements for new enhancements in model/solution• Propose new ideas/solutions that can be helpful for the project overall• Analyze and understand problems and issues to convert these insights into system requirements• Build scalable and high performance Machine Learning and Data Mining algorithms
Qualifications:Minimum 3 years of experience developing production-level Python applications.Strong understanding of AI/ML concepts and algorithms, including experience with prediction models.Hands-on experience building and deploying generative AI models.Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience working with vector databases and Cassandra is highly desirable.Strong understanding of best practices for deploying and scaling machine learning models.Excellent problem-solving and analytical skills.Strong communication and collaboration skills.