Encore Med is a health‑tech company founded in 2016 focusing on innovating digital experience for healthcare operations and has a strong portfolio in transforming numerous business operations and processes for hospitals within the region.
Encore Med’s vision is to help hospitals and healthcare institutes by providing patients with a simpler and smarter healthcare experience. Progressing with a team of 30 team members, Encore Med has been building sophisticated engines to meet complex hospital processes, innovating more products to ensure that the company products and services are moving ahead along with the technological advancements primarily in automation, artificial intelligence, and Internet‑of‑Things.
Job Summary
In EncoreMed, we are looking for a hands‑on AI Engineer to help us build the next generation of healthcare intelligence. You’ll work across data analytics, model development, and infrastructure — from setting up data pipelines to fine‑tuning specialized language models (SLMs) for healthcare insights.
You will also work with our R&D Engineer to build fast, iterate, and own the full stack of AI development — from concept to deployment.
Job Requirements
Generative AI & ML Development
- Build, fine‑tune, and deploy AI / ML models, including LLMs and healthcare‑specific language models (SLMs).
- Work on clinical NLP tasks like entity extraction, summarization, or predictive modeling.
- Develop RAG pipelines, prompts and RAG retrieval for structured and unstructured healthcare data.
- Experiment with multimodal AI (text, imaging, voice, structured data) and optimize models for accuracy, interpretability and speed.
- Leverage and extend open frameworks (LangChain, LlamaIndex, Hugging Face, etc).
- Design and maintain lightweight, scalable data pipelines (ETL / ELT) for healthcare datasets.
- Integrate structured and unstructured data (EHR, clinical text, sensor data, etc.).
- Implement efficient data workflows and monitoring systems.
Analytics & Insights
Collaborate with product and domain teams to extract insights from healthcare data.Build dashboards or reports that translate raw data into actionable intelligence.AI Workflow Automation
Focus on using AI automation using tools such as n8n to automate as many processes internally and externally.Help to cultivate “AI‑first” thinking into all employee mindsets with examples of working automation.Deployment & MLOps
Own the end‑to‑end deployment pipeline — from model packaging to serving APIs.Set up CI / CD workflows for ML and automate retraining or performance checks.Work closely with Software Engineers to bring AI features to production.Work with AI Product Manager and stakeholders to shape our AI roadmap.Explore and prototype cutting‑edge AI tools, frameworks, and healthcare data standards (i.e., FHIR, HL7).Help set technical best practices and contribute to our culture of innovation.Job Qualifications
Minimum 3+ years of experience in AI / ML engineering, data science, or related roles.Strong skills in Python and ML frameworks like PyTorch, TensorFlow, scikit‑learn, and Hugging Face.Experience building data pipelines (Airflow, Prefect, dbt, or custom).Familiarity with LLM / SLM fine‑tuning, RAG architectures, and vector databases.Strong understanding of healthcare data (EHR, clinical text, claims, etc.) and privacy regulations (HIPAA).Cloud and DevOps know‑how (AWS, GCP, or Azure; Docker / Kubernetes).Experience within the healthcare, digital or SaaS industry is advantageous and a plus.#J-18808-Ljbffr