AI + Data Engineering Manager (LLM / Machine Learning / Python) | Hybrid
KMC SolutionsMetro Manila, Philippines2 days ago
Job descriptionDesign and develop AI-driven modules for healthcare professional (HCP) targeting, clustering, and lead scoring. Build and deploy LLM-based recruiter agents utilizing LangChain and RAG (Retrieval-Augmented Generation) pipelines. Train and fine‑tune machine learning models for content personalization, CME (Continuing Medical Education) recommendations, and second‑opinion chatbots. Develop and maintain data pipelines and feature stores to support robust and scalable AI infrastructure. Collaborate with the Head of Engineering and cross‑functional teams to operationalize AI services in production environments. 3–6 years of professional experience in AI engineering, machine learning, or related fields. Proficiency in Python, PyTorch / TensorFlow, FastAPI, LangChain, and Vector Databases (e.g., Pinecone, FAISS). Hands‑on experience with ML Ops, model deployment, and data pipeline orchestration. Exposure to healthcare or market research datasets is preferred. Prior experience in a startup environment with a strong builder mindset is an advantage. Must possess hands‑on coding ability; this is a non‑negotiable requirement. Demonstrated ownership, adaptability, and the ability to work effectively in lean, fast‑paced teams.
AI + Data Engineering Manager (LLM / Machine Learning / Python) | Hybrid
Make your next big career move by applying as KMC Solutions' next AI + DATA ENGINEER!
We’re looking for a passionate AI Engineer to join our growing tech team. In this role, you’ll design, build, and deploy advanced AI solutions that power healthcare insights, recruiter automation, and personalized digital experiences. You’ll work hands‑on with LLMs, machine learning models, and scalable data pipelines—collaborating closely with our Head of Engineering to bring innovative ideas into production. If you thrive in fast‑paced environments and love solving complex problems with real‑world impact, we’d love to have you on board.
Benefits
- Health Insurance / HMO
- Diverse learning & growth opportunities
- Accessible Cloud HR platform (Sprout)
- Above standard leaves
Responsibilities
Qualifications
Seniority level : Mid‑Senior level
Employment type : Full‑time
Job function : Engineering, Information Technology, and Research
Industries : IT System Data Services, Hospitals and Health Care, and Software Development
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