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The Gen AI Engineer/Architect will design and lead the implementation of end-to-end AI and machine learning solutions, focusing on LLMs and RAG frameworks. The role involves defining architectural roadmaps and managing the full lifecycle of AI models from data ingestion to monitoring.
Designs and builds enterprise data solutions, cloud migrations, and AI/ML pipelines in Azure to support analytics and automation for a transformer manufacturer.
Designs, builds, and optimizes a global data platform and analytics infrastructure using Databricks, Azure Data Factory, and relational databases, enabling AI-driven solutions while ensuring governance, security, and performance.
Build and productionize predictive models to forecast shrink and damages for a large retail chain, using Python, SQL, and PySpark to automate analytics workflows and deliver insights to business stakeholders.
The Data Engineer will design and deploy scalable, AI-enabled data pipelines and machine learning models for Department of Defense mission-critical environments. The role involves working with Python, Spark, and containerized cloud technologies to transform structured and unstructured data into operational insights.
Designs, builds, and deploys AI/ML models for operational intelligence (Smart NOC AI), from data exploration to production, collaborating with data engineering, architecture, MLOps, and ops teams to enable predictive decision-making, automation, and anomaly detection using IBM Watsonx tools.
Leads AI/ML development for Target’s Advanced AI team, designing scalable, production-grade systems (LLMs, classical ML, deep learning) to automate workflows and drive business insights. Bridges technical and business needs while mentoring teams and ensuring responsible AI practices.
Mid Data Scientist crafting data-driven solutions, developing analytical and ML models using Python, SQL, ML tools (MLflow, W&B, Databricks ML), cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), and data visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau).
О компании Agrobank развивает AI-направление и внедряет скоринговые модели в ключевые кредитные процессы. Скоринг — критически важная система, которая влияет на решения по кредитованию и управлению рисками. О роли…
Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation…
The Data Scientist will develop and integrate machine learning models and AI agents into core insurance and healthcare processes at Allianz. The role involves end-to-end data pipeline management, from engineering to deployment, using Python and modern AI architectures.
Foxway seeks Data Scientist for Pricing & Business Modelling About the Role Join a leading European company in the technology refurbishing sector as a Data Scientist. You will work on real operational problems…
Expert Data Scientist auditing ML workflows, performing Root Cause Analysis on industrial defects, and improving model interpretability using Python, scikit-learn, and XGBoost on-site in Fos-sur-Mer.
Junior Data Scientist builds and improves machine learning pipelines for recommendation systems using Python, PySpark, and PyTorch to personalize user experiences across banking, e-commerce, and other sectors.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Senior ML Engineer builds, deploys, and maintains end-to-end machine learning solutions in cloud environments using Python, SQL, Azure ML, Databricks, and MLOps practices.
Designs and builds scalable AWS-based ML/data infrastructure for enterprise AI solutions, focusing on MLOps, feature engineering, and governance to enable production-ready AI at scale.
Senior ML Engineer supporting AI CoE's ML initiatives in Canada, building/deploying/operationalizing ML solutions in cloud environments with SQL and Python expertise.
Design and implement AI/ML features for cybersecurity solutions, focusing on autonomous systems, multi-agent workflows, and production pipeline management for the Trend Vision One platform.
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
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