Senior Machine Learning Engineer

N-iX; Brasil; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

N-iX is seeking a Senior Machine Learning Engineer for a significant initiative in the life sciences sector. The position involves designing and deploying ML models within the Palantir Foundry, collaborating with various teams, and ensuring robust ML workflows. Candidates should have substantial experience in machine learning, particularly in production environments.

Serviços

Flexible working format

Competitive salary and good compensation package

Personalized career growth

Professional development tools

Active tech communities

Education reimbursement

Corporate events and team buildings

Qualificações

• 5+ years experience in machine learning or applied data science.
• Strong programming skills in Python with ML libraries.
• Experience in designing and deploying ML workflows at scale.

Responsabilidades

• Design and implement scalable ML models for predictive analytics.
• Collaborate with Data Engineers to ensure high-quality data flows.
• Contribute to MLOps automation including CI/CD for ML.

Conhecimentos

Machine Learning

Python

Data Security

Stakeholder Engagement

Ferramentas

scikit-learn

XGBoost

TensorFlow

PyTorch

Descrição da oferta de emprego

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

Referrals increase your chances of interviewing at N-iX by 2x

Get notified about new Senior Machine Learning Engineer jobs in Brazil.

[Customer Platforms] Senior Machine Learning Engineer

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

Senior Machine Learning Engineer - Remote - Latin America

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.