Lead Data Science Architect

About Us: VivSoft is an emerging technology company specializing in Cloud, Enterprise DevSecOps, AI, and Digital Customer Experience to drive mission-enabling digital transformation. We build mission-focused, scalable solutions through a diverse team of strategists, engineers, and designers experienced in high-performance software and AI factory accelerators. As we innovate in the government contracting sector, we seek a motivated Business Development Trainee on a path to becoming a skilled Capture Manager. This role involves learning the government contracting lifecycle, leading capture efforts, and driving strategic growth through aligning our solutions with client needs.

• Design and Develop Data Science Architectures: Utilize Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP) to create scalable and high-performance data architectures for complex analytics and AI applications.
• Define Technical Strategy for Data Science Projects: Focus on algorithmic efficiency and advanced data analysis using Python, R, TensorFlow, and PyTorch to drive project innovation.
• Integrate Emerging Technologies: Utilize cutting-edge Artificial Intelligence (AI)/Machine Learning (ML) tools such as Large Language Models (LLMs) for sophisticated data analysis and to streamline DevOps processes.
• Employ platforms like Amazon SageMaker for streamlined model development, ML flow for effective lifecycle management, and Apache Kafka for robust real-time data streaming.
• Integrate these technologies into a robust AI/ML infrastructure to enhance workflow efficiency and support the development of more sophisticated and reliable statistical models and analytics.
• Provide Technical Leadership and Mentorship: Guide data scientists in machine learning and predictive analytics, leveraging Python, R, and TensorFlow to enhance team capabilities and project outcomes.
• Lead Data Pipeline and Algorithm Development: Direct the design and implementation of data pipelines, data modeling, feature engineering, and algorithm development for effective data management and innovative solutions.
• Collaborate with Cross-Functional Teams: Develop cohesive data-driven solutions using cloud technologies and automation pipelines to meet complex business requirements.
• Manage the Development Lifecycle: Oversee the entire process of data science projects, from conception to deployment, ensuring quality, efficiency, and reliability.
• Develop Scalable Cloud Infrastructure: Focus on creating efficient and adaptable data infrastructure on AWS, Azure, and GCP to meet evolving project needs.
• Develop Predictive Models and Machine Learning Algorithms: Direct the creation of models and algorithms for data-driven decision making using TensorFlow, PyTorch, and scikit-learn.
• Apply Advanced Analytics Techniques: Utilize Tableau, Power BI, and SQL/Non-SQL databases for sophisticated data visualization and complex dataset management.
• Communicate Technical Insights: Effectively convey complex technical concepts to diverse audiences, translating intricate ideas into clear, actionable insights.
• Provide Expert Guidance in Data Science Solutions: Drive the creation of bespoke solutions using in-depth knowledge of cloud platforms and data science tools. Leverage expertise, akin to that demonstrated by certifications such as AWS Certified Machine Learning Specialty, Google Cloud Certified Professional Data Engineer, and AWS Certified Solutions Architect, to align solutions with specific business needs and objectives.

• Master’s degree in computer science, Statistics, Mathematics, Data Science, Business Intelligence and Analytics, or a related field; and four years of experience in job offered, Sr. AI Engineer, AI Engineer, Lead Application Developer, Data Engineer, Full Stack Developer, Solutions Architect/Developer, or in a related data science or data developer field.
• Experience in job other than offered job must include a minimum of two years of experience in AWS; Azure; GCP; Python; R; TensorFlow; PyTorch; scikit-learn; Tableau; Power BI; SQL and Non-SQL databases; integrating machine learning models into production systems; implementing automation pipelines; hands-on experience with machine learning, predictive modeling, and advanced analytics.
• Following certificates are also required: a) AWS Certified Machine Learning – Specialty; 2) Google Cloud Certified Professional Data Engineer; 3) AWS Certified Solutions Architect – Associate.

• VivSoft Technologies LLC, 13221 Woodland Park Rd Suite 310, Herndon, VA 2017, or other unanticipated client location across the U.S.
• To Apply:                   Send resume to HR, VivSoft Technologies, Inc., 13221 Woodland Park Rd, Ste 310, Herndon, VA 20171 or Email to: recruiting @ vivsoft.io