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ML Ops Engineer
Build and maintain automated ML training, evaluation, and CI pipelines for an AI-driven defense autonomy stack, enabling reproducible model development and deployment.
AI/ML Specialist Solutions Architect
Design and deploy scalable AI/ML solutions for customers, advising on distributed training and production-scale deployments while bridging technical and business needs.
Senior MLOps Engineer - Data Ingestion - Paris
Build and maintain secure ML pipelines for healthcare data, including LLM and custom model deployment, anonymization, and threat detection in production.
System Data Scientist
Build and lead a RAN data platform using LLMs, GenAI, and ML to drive data-driven decisions, optimize CI/CD, and forecast capacity across Ericsson’s distributed systems.
Senior AI/ML Engineer
Build and operate ML infrastructure for a Payments ML platform, focusing on pipelines, training/inference systems, and MLOps tooling to scale AI use cases in payments.
Senior Technical Project Manager
Leads AI and R&D projects for a major bank, orchestrating cross-functional teams to deliver high-load, innovative systems from inception to production while managing vendor relations and FinOps cost modeling.
Associate Director, Data Science
Data Scientist role at S&P Global in Gurugram, India, analyzing financial and business data to derive insights.
ML/AI Engineer
Builds and deploys AI/ML models (focusing on speech recognition and legal insights) in production, optimizing performance, latency, and GPU usage while integrating LLMs and agentic workflows where applicable.
Data Scientist (Initiative and Investment Performance Insights)
Data Scientist designs and runs experiments to measure the financial impact of business initiatives using causal inference, ML, and automated monitoring frameworks for a large Ukrainian retail and investment group.
Data Scientist (Operations Digital Twin)
Develops forecasting and simulation models to create a digital twin of food delivery operations, using time series, regression, and ML pipelines to optimize capacity and resource planning.
Experienced Data Engineer Stockholm
Designs and builds scalable data pipelines and modern data platforms for public and private clients, using cloud-native tools and Python/SQL to enable analytics and AI workloads.
Experienced Data Engineer Malmö
Builds and maintains cloud-native data pipelines and platforms for public/private clients, enabling analytics and AI use cases with Python, SQL, and cloud services.
Senior MLOps Engineer (AWS & GenAI)
Build and maintain AWS-based MLOps platforms for GenAI models, automating pipelines with SageMaker, MLflow, and CI/CD while ensuring secure, scalable deployments.
AI Engineer
Build and deploy generative AI solutions using RAG, prompt engineering, and frameworks like LangChain on Google Cloud or Azure.
Staff Machine Learning Engineer, ML Acceleration (Remote)
Lead a team to optimize and accelerate ML model training for autonomous vehicles, using PyTorch/JAX and distributed systems to cut development cycles and enable rapid hot-patching.
Senior Engineer, Machine Learning Platform
Senior Engineer builds and maintains a scalable ML platform for real-time data processing, model deployment, and monitoring, enabling AI adoption across teams using Python, cloud services, and Kubernetes.
Data Scientist (LLM)
Build and deploy ML systems and LLM-powered features for a B2B wholesale marketplace, owning models from design through production monitoring.
Data Scientist (Economics)
Build pricing, forecasting, and recommendation models for a B2B wholesale marketplace using Python, SQL, and econometric techniques.