Founding ML Engineer – Build the Future of Personalized Skincare

Location: Bangalore / Remote Type: Full-time | Founding Team About Us At Decimal , we are building the world’s first personalized marketplace for skincare . With 100,000+ products online and 73% of shoppers feeling confused about what works for their skin, we’re on a mission to simplify skincare decisions using science and data. Our app uses cutting-edge AI to provide dermatologist-level recommendations and personalized product matches. We’re backed by early adopters, dermatologists, and industry experts. Now, we’re looking for a Founding Machine Learning Engineer to join our core team and build the backbone of our recommendation engine. What You’ll Do Own and build end-to-end ML pipelines: from data ingestion to production deployment. Develop skin-type classification models using image data and questionnaire inputs. Build and optimize recommendation algorithms for personalized product suggestions. Collaborate with dermatologists, product designers, and engineers to translate insights into features. Set up MLOps processes for experimentation, deployment, and monitoring. Influence product direction as a key founding team member . Who You Are 3+ years of experience in Machine Learning / Data Science (experience in startups a plus). Strong background in computer vision , recommendation systems , and deep learning . Proficient in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP). Experience with data pipelines , APIs, and deploying ML models in production. Entrepreneurial mindset — thrives in ambiguity, loves building from zero to one. Passion for healthtech , beauty , or consumer AI products is a big plus! Why Join Us? Be a founding engineer with equity — help shape the product, culture, and tech stack. Work on cutting-edge AI that impacts millions of users. Collaborate directly with the founders and make product decisions. Flexible work environment with a mission-driven team. How to Apply Send us your LinkedIn/GitHub and a short note on why you’re excited to build with us at: ankit@ Our Tech Stack Languages: Python, JavaScript (Node.js), TypeScript ML/DL: TensorFlow, PyTorch, OpenCV, Scikit-learn Data: Pandas, NumPy, PostgreSQL, BigQuery Cloud & MLOps: AWS (S3, SageMaker, Lambda), GCP, Docker, Kubernetes App: React Native, Next.js Tools: GitHub, CI/CD, Experiment Tracking (MLflow/W&B)

Created: 2025-08-05