Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
N-iX is looking fora 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 workflowsfrom 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.
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
Required Experience:
Senior IC
Employment Type
Full Time
