AI/LLM Architect

PierianDx India Private Limited; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

PierianDx India Private Limited is seeking an AI Architect to lead the design and implementation of AI solutions. This role emphasizes collaborative solutioning, robust architecture for data-driven decision-making, and leveraging advanced AI techniques to optimize performance.

The ideal candidate will have 8+ years in AI/ML development, extensive experience with Generative AI, and proficiency in Python, SQL, and cloud-based platforms. Join us to make a meaningful impact in healthcare!

Qualifications

• 8+ years of experience in AI/ML development, with at least 3+ years in an AI architecture role.
• Experience with Generative AI pipelines is needed.
• Hands-on experience with cloud-based AI/ML platforms and tools.

Responsibilities

• Lead collaborative solutioning sessions translating business requirements into AI solutions.
• Architect scalable AI solutions for data-driven decision-making.
• Design and implement data integration strategies for AI model development.

Skills

AI/ML Development

Python

SQL

Deep Learning Frameworks

Cloud-based AI Platforms

Education

Bachelor's or Master's degree in a quantitative field

Tools

pandas

Scikit-learn

PyTorch

TensorFlow

Job description

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?

• Lead and participate in collaborative solutioning sessions with business stakeholders, translating business requirements and challenges into well‑defined machine learning/data science use cases and comprehensive AI solution specifications.
• Architect robust and scalable AI solutions that enable data‑driven decision‑making, leveraging a deep understanding of statistical modeling, machine learning, and deep learning techniques to forecast business outcomes and optimize performance.
• 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.
• Leverage advanced feature engineering techniques and quantitative methods, including statistical modeling, machine learning, deep learning, and generative AI, to implement, validate, and optimize AI models for accuracy, reliability, and performance.
• Simplify data presentation to help stakeholders easily grasp insights and make informed decisions.
• Maintain a deep understanding of the latest advancements in AI and generative AI, including various model architectures, training methodologies, and evaluation metrics.
• Identify opportunities to leverage generative AI to securely and ethically address business needs, 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.

Our Core Values: People first. We create collaborative and supportive environments by operating with respect and flexibility to promote mental, emotional and physical health. We practice empathy by treating others the way they want to be treated and assuming positive intent. We are proud of our inclusive diverse team and humble ourselves to learn about and build our connection with each other. Patient focused. We act with swift determination without sacrificing our expectations of quality. We are driven by providing exceptional solutions for our customers to positively impact patient lives. Considering what is at stake, we challenge ourselves to develop the best solution, not just the easy one. Integrity. We hold ourselves accountable and strive for transparent communication to build trust amongst ourselves and our customers. We take ownership of our results as we know what we do matters and collectively we will change the healthcare industry. We are thoughtful and intentional with every customer interaction understanding the overall impact on human health. Curious. We ask questions and actively listen in order to learn and continuously improve. We embrace change and the opportunities it presents to make each other better.

Velsera is an Equal Opportunity Employer: Velsera is proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, colour, gender, religion, marital status, domestic partner status, age, national origin or ancestry.