Welcome to the era of Velsera Seven Bridges, Pierian & UgenTec have combined to become Velsera.

Velsera is the precision engine company. We empower researchers, scientists, and clinicians to drive precision R&D;, expand access to, and more effectively leverage analytics at the point of care.

We unify technology-enabled solutions and scientific expertise to enable a continuous flow of knowledge across the global healthcare ecosystem. This interweaves diverse biomedical communities, allowing them to build upon each other’s success and accelerate medical breakthroughs that positively impact human health.

With our headquarters in Boston, MA, we are growing and expanding our team which located in 14 different countries

What will you do?

· Train, fine-tune, and deploy Large Language Models (LLMs) to solve real-world problems effectively.
· Design, implement, and optimize AI/ML pipelines to support model development, evaluation, and deployment.
· Collaborate with Architect, software engineers, and product teams to integrate AI solutions into applications.
· Ensure model performance,



scalability, and efficiency through continuous experimentation and improvements.
· Work on LLM optimization techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, etc.
· Manage and automate the infrastructure necessary for AI/ML workloads while keeping the focus on model development.
· Work with DevOps teams to ensure smooth deployment and monitoring of AI models in production.
· Stay updated on the latest advancements in AI, LLMs, and deep learning to drive innovation.

What do you bring to the table?

· Solid experience in training, fine-tuning, and deploying LLMs using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers.
· Hands-on experience in developing and optimizing AI/ML pipelines, from data preprocessing to model inference.
· Solid programming skills in Python and familiarity with libraries like NumPy, Pandas, and Scikit-learn.
· Strong understan

📌 Senior AI Engineer (Pune)
🏢 Velsera
📍 Pune