AI/LLM Architect

About Velsera

Medicine moves too slow. At Velsera, we are changing that.

Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights.

Velsera provides software and professional services for:

• AI-powered multimodal data harmonization and analytics for drug discovery and development
• IVD development, validation, and regulatory approval
• Clinical NGS interpretation, reporting, and adoption

With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries!

What will you do? 

• Collaborate with stakeholders to define AI use cases, translating business requirements into machine learning solution designs.
• Architect scalable AI systems using statistical modeling, ML, and deep learning techniques to drive predictive insights and optimize outcomes.
• Design and implement data integration strategies to unify and streamline diverse data sources, creating a consistent and cohesive data landscape for AI model development.
• Develop efficient and programmatic methods for synthesizing large volumes of data, extracting relevant features, and preparing data for AI model training and validation.
• Apply advanced techniques including generative AI, deep learning, and traditional ML to develop and refine high-performing models.
• Simplify data presentation to help stakeholders easily grasp insights and make informed decisions.
• Leverage generative AI securely and ethically to enhance business processes, optimize existing processes, and drive innovation.
• Contribute to project management processes, providing regular status updates, and ensuring the timely delivery of high-quality AI solutions.
• Primarily responsible for contributing to project delivery and maximizing business impact through effective AI solution architecture and implementation. Occasionally contribute technical expertise during pre-sales engagements and support internal operational improvements as needed.

What do you bring to the table?

• A bachelor's or master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) is required. The ideal candidate will have a strong background in designing and implementing end-to-end AI/ML pipelines, including feature engineering, model training, and inference. Experience with Generative AI pipelines is needed. 

• 8+ years of experience in AI/ML development, with at least 3+ years in an AI architecture role. 

• Fluency in Python and SQL and noSQL is essential. Experience with common data science libraries such as pandas and Scikit-learn, as well as deep learning frameworks like PyTorch and TensorFlow, is required. 

• Hands-on experience with cloud-based AI/ML platforms and tools, such as AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio, or OpenAI, is a must. This includes experience with deploying and managing models in the cloud. 

• Flexible Work & Time Off - Embrace hybrid work models and enjoy the freedom of unlimited paid time off to support work-life balance.
• Health & Well-being - Access comprehensive group medical and life insurance coverage, along with a 24/7 Employee Assistance Program (EAP) for mental health and wellness support.
• Growth & Learning - Fuel your professional journey with continuous learning and development programs designed to help you upskill and grow.
• Recognition & Rewards - Get recognized for your contributions through structured reward programs and campaigns.
• Engaging & Fun Work Culture - Experience a vibrant workplace with team events, celebrations, and engaging activities that make every workday enjoyable.
• & Many More...