Senior Machine Learning Engineer

Há 7 horas

Espírito Santo, Brasil N-iX Tempo inteiro

2 days ago Be among the first 25 applicants

N-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 Responsibilities

  • Design 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 & Experience
  • 5+ 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 techniques
  • Hands-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 flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
  • not applicable for freelancers
Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Industries Real Estate, Financial Services, and Capital Markets

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