ML / Data Science Engineer

**Role Overview:** As an ML / Data Science Engineer at Anervea, you will be responsible for designing, training, deploying, and maintaining machine learning models across multiple products. Your role will involve building models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Collaboration with AI engineers, backend developers, and product owners will be key to translating data into product features that are explainable, reliable, and impactful. **Key Responsibilities:** - Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods - Engineer features from real-world healthcare data including clinical trials, treatment adoption, medical events, and digital behavior - Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines - Build end-to-end ML pipelines for inference and batch scoring - Collaborate with AI engineers to integrate LLM-generated features with traditional models - Ensure explainability and robustness of models using SHAP, LIME, or custom logic - Validate models against real-world outcomes and client feedback - Prepare clean, structured datasets using SQL and Pandas - Communicate insights clearly to product, business, and domain teams - Document all processes, assumptions, and model outputs thoroughly **Qualification Required:** - Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) - Experience with statistical modeling and classification algorithms - Solid understanding of feature engineering, model evaluation, and validation techniques - Exposure to real-world healthcare, trial, or patient data (strong bonus) - Comfortable working with unstructured data and data cleaning techniques - Knowledge of SQL and NoSQL databases - Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) - Bonus: experience working alongside LLMs or incorporating generative features into ML - Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods **About the Company:** Anervea.AI, a client of Uplers, is seeking an ML / Data Science Engineer to contribute to designing, training, deploying, and maintaining machine learning models across various products. Anervea.AI focuses on predictive analysis and forecasting in the healthcare industry, with a strong emphasis on explainable and reliable model features. If you are ready for a new challenge in a great work environment and an opportunity to take your career to the next level, apply today and join the team at Anervea.AI!,