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Location:Bangalore / Remote Type:Full-time | Founding TeamAbout UsAtDecimal , we are building the world’s firstpersonalized 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 aFounding Machine Learning Engineerto join our core team and build the backbone of our recommendation engine.What You’ll Do Own and buildend-to-end ML pipelines: from data ingestion to production deployment. Developskin-type classification modelsusing image data and questionnaire inputs. Build and optimizerecommendation algorithmsfor personalized product suggestions. Collaborate with dermatologists, product designers, and engineers to translate insights into features. Set upMLOpsprocesses for experimentation, deployment, and monitoring. Influence product direction as akey founding team member .Who You Are 3+ yearsof experience in Machine Learning / Data Science (experience in startups a plus). Strong background incomputer vision ,recommendation systems , anddeep learning . Proficient in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP). Experience withdata pipelines , APIs, and deploying ML models in production. Entrepreneurial mindset — thrives in ambiguity, loves building from zero to one. Passion forhealthtech ,beauty , orconsumer AI productsis a big plus!Why Join Us? Be afounding engineerwith equity — help shape the product, culture, and tech stack. Work oncutting-edge AIthat 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 yourLinkedIn/GitHuband 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)