Senior Machine Learning Engineer

2 days ago Be among the first 25 applicantsN-iX is looking for a Senior Machine Learning Engineer to join a high-impact initiative in the life sciences domain.
You will be responsible for designing, developing, and deploying machine learning models at scale within the Palantir Foundry ecosystem, enabling data-driven decision-making across R&D, commercial, and real-world evidence use cases.You will collaborate closely with data scientists, MLOps engineers, and data engineers to build robust, production-grade ML workflows—from data preparation and feature engineering to model training, evaluation, deployment, and monitoring.Key ResponsibilitiesDesign and implement scalable ML models for use in predictive analytics, forecasting, and classification tasks within the pharmaceutical domain.Work with Palantir Foundry to build end-to-end ML pipelines, including custom Python code, Foundry Functions, and Ontology-aware feature generation.Collaborate with Data Engineers to ensure high-quality, model-ready data flows from ingestion to inference.Operationalize models using industry best practices for versioning, reproducibility, and monitoring (e.g., via MLflow or native Foundry tools).
Contribute to MLOps automation, including CI/CD for ML, drift detection, retraining pipelines, and evaluation dashboards.Partner with business stakeholders and domain experts to translate scientific or commercial hypotheses into model-based solutions.Apply rigorous experimentation and statistical validation to ensure models are explainable, generalizable, and regulatory-compliant.Stay informed on the latest developments in ML/AI and proactively introduce innovative techniques and frameworks.Must-Have Skills & Experience5+ years of experience in machine learning or applied data science, ideally in a production or enterprise setting.Strong programming skills in Python, with deep experience in machine learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.Experience designing and deploying ML workflows at scale, preferably with experience in Foundry, KubeFlow, SageMaker, or similar platforms.Familiarity with feature engineering, data imputation, sampling strategies, and evaluation techniquesHands-on experience with model deployment and monitoring, including logging metrics, detecting drift, and managing model lifecycles.Comfort working with structured and unstructured data: tabular, time series, text, etc.Solid understanding of data security, privacy, and compliance, particularly in pharma or regulated domains.Strong communication and stakeholder engagement skills; capable of explaining complex models in simple terms.Upper-Intermediate or Advanced level of English is required.We offer*:Flexible working format - remote, office-based or flexibleA competitive salary and good compensation packagePersonalized career growthProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)Active tech communities with regular knowledge sharingEducation reimbursementMemorable anniversary presentsCorporate events and team buildingsOther location-specific benefitsnot applicable for freelancersSeniority levelSeniority levelNot ApplicableEmployment typeEmployment typeFull-timeJob functionIndustriesReal Estate, Financial Services, and Capital MarketsReferrals increase your chances of interviewing at N-iX by 2xGet notified about new Senior Machine Learning Engineer jobs in Brazil.
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