Remote Data Jobs • PyTorch

Evaluate, adapt, and integrate pretrained computer‑vision models—such as Vision Transformers and vector‑quantized encoders—into Enchant’s existing modalities. Locate and curate clinical imaging datasets (radiology, pathology, microscopy, etc.) and set clear benchmarks for model performance. Build reliable data pipelines for large image collections, including ingestion, preprocessing, augmentation, and storage.

ELEKS Artificial Intelligence Office is looking for an ML Engineer in Poland, Croatia and Ukraine. The job involves developing a cloud-based platform for the biopharma industry that enables users to simulate and interact with digital twins of manufacturing processes. Responsibilities include collecting, transforming, and preprocessing raw data, building statistical and probabilistic models, and implementing the model in a form that can be easily used by engineers.

As part of a world-class AI team, you'll help build advanced ML models and research systems that power next-generation pharma analytics. Design and prototype machine learning models and neural ODEs for complex biomedical datasets. Optimize model performance and manage large-scale data pipelines. Apply statistical methods (MLE, bootstrapping) and nonlinear optimization (e.g., CPLEX).

We are seeking a Senior AI/ML Specialist Solutions Architect to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers. This role involves architecting and optimizing distributed training and inference systems, leading ML pipeline transitions, and mentoring teams.

Design, develop, and optimize advanced AI models to solve complex business and technical challenges. Collaborate closely with cross-functional teams to identify AI opportunities and deliver impactful solutions. The ideal candidate will play a key role in model development, research, and team collaboration, helping shape the direction of our AI initiatives.

This leadership role combines hands-on technical expertise with strategic oversight and team mentorship. The Lead AI Specialist will head our AI initiatives and guide the development of innovative machine learning solutions across Theoria Medical’s healthcare technology landscape and be responsible for driving our AI roadmap ensuring high-quality model deployment.

Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction. Analyze large-scale battery performance data to extract actionable insights. Develop anomaly and event detection algorithms for safety-critical battery threats. Create predictive maintenance models to forecast battery failures and degradation.

Help developers and technical teams learn how to build, deploy, and scale modern machine learning and AI systems in production. Design and deliver training materials—ranging from interactive labs and instructor-led workshops to certification programs and short-form videos—that teach the foundational and advanced concepts behind scalable ML/AI systems.

As a Research Scientist on the Machine Learning team, you’ll work at the intersection of speech modeling, machine learning, and healthcare. Interface with partners to design and deploy state-of-the-art ASR and speech-based models that solve real-world healthcare challenges, influencing clinical workflows and improving physician efficiency.