Lead AI Scientist for Healthcare ML & Forecasting

SoftServe; Polska; Presencial; PLN 240 000 - 380 000; Tempo integral

Resumo da oferta

SoftServe is seeking a senior ML engineer to own problem formulation, experimentation, and production deployment of forecasting and optimization solutions in a strategic healthcare technology engagement on AWS.

You will collaborate with data engineers, AI specialists, and MLOps engineers to build reliable, explainable, and scalable ML solutions while mentoring junior staff and reporting to stakeholders.

Qualificações

• Master's degree in ML, Statistics, OR, Applied Math, CS (PhD advantageous).
• At least 5 years of ML or software engineering with production ML ownership.
• At least 3 years building ML services on AWS using native infra (not SageMaker).
• Strong time-series forecasting expertise across classical, ML, DL, and multi-series methods.
• Strong mathematical optimization knowledge and integration with ML predictions.
• Excellent Python skills including NumPy, pandas, scikit-learn, statsmodels, PyTorch or JAX.
• Experience with Prophet, GluonTS, Nixtla.
• Strong AWS knowledge: EKS, S3, IAM, Lambda, EventBridge, ECR, CloudWatch, Step Functions.
• Practical Docker, Kubernetes, GitHub Actions, CI/CD; testing and observability.
• Track record of moving models from research to production; Agile/Scrum; Confluence docs.
• Strong written/spoken English; healthcare/regulatory domain experience advantageous.
• Familiarity with causal inference, counterfactuals, time-series foundation models, experiment tracking, model registries, or inference optimization is a plus.

Responsabilidades

• Lead forecasting and optimization for medication inventory management.
• Develop medication diversion detection models using behavioral analytics, anomaly detection, risk scoring, and explainable ML.
• Translate clinical and operational needs into clearly defined ML problems with measurable success criteria.
• Apply classical statistics, optimization, ML, and deep learning to forecasting and decision-making challenges.
• Design rigorous experiments with temporal splits, baselines, ablation studies, calibration, and uncertainty quantification.
• Build production-ready training pipelines, inference services, batch workloads, and data integrations on AWS.
• Collaborate with data engineers on feature engineering and reproducible data pipelines.
• Partner with MLOps on deployment, monitoring, drift detection, continuous evaluation, and rollback.
• Write clean, modular Python code; contribute to standards, code reviews, and CI/CD practices.
• Use AI-assisted coding tools responsibly; validate generated code for correctness, security, and licensing.
• Document methodologies, assumptions, validation results, architecture decisions, runbooks, and model cards in Confluence.
• Mentor engineers and junior scientists, communicating technical findings to engineering, clinical, and executive stakeholders.

Conhecimentos

Python programming

Time-series analysis

Mathematical optimization

English proficiency

Cloud computing

Formação académica

Master's degree in ML/Statistics/OR/Applied Math/CS

Ferramentas

NumPy

Pandas

scikit-learn

Statsmodels

PyTorch

JAX

Prophet

GluonTS

Nixtla

Docker

Kubernetes

GitHub Actions

CI/CD

Confluence

Descrição da oferta de emprego

SoftServe is seeking a senior ML engineer to own problem formulation, experimentation, and production deployment of forecasting and optimization solutions in a strategic healthcare technology engagement on AWS.

You will collaborate with data engineers, AI specialists, and MLOps engineers to build reliable, explainable, and scalable ML solutions while mentoring junior staff and reporting to stakeholders.