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Senior Data Engineer building and maintaining data products and pipelines for Prima's pricing and underwriting domain, working with Kafka, Flink, Spark, Python, AWS, and SQL databases.
Builds and optimizes ML models to classify job candidates from CVs, using Python, Scikit-learn, and XGBoost to analyze large datasets and improve hiring workflows.
Builds and maintains data-driven applications and pipelines for Zula 2.0, a rail inspection ranking platform, focusing on backend data processing, analytics, and ML workflows on AWS.
This Full Stack Engineer role focuses on building data pipelines and interactive dashboards for rail inspection systems using Python and React. The position involves managing AWS cloud infrastructure and deploying machine learning models to visualize complex inspection data for stakeholders.
The Junior Data & AI Engineer will design and build scalable data pipelines and generative AI solutions using cloud architectures, Big Data processing, and LLM frameworks. The role involves working with Python, Java, or Scala to develop ETL processes and integrate AI models into production environments.
Build and own ML models that optimize last-mile delivery operations, from prototyping to production, using Python, TensorFlow/PyTorch, and LLM-based solutions.
The Senior Data Scientist will lead end-to-end machine learning projects, from business problem conception to deployment and monitoring, within a healthcare environment. The role focuses on building scalable AI solutions using Python, GCP, and MLOps practices, while mentoring junior team members.
12-month placement in Keysight's Software R&D team developing AI/ML-powered software for 5G telecommunications systems using Python, machine learning frameworks, and LLMs.
Data Engineer / MLE at Insud Pharma's AI Labs building end-to-end data and ML pipelines for clinical trials, R&D, and drug manufacturing. Core stack: Python, Docker, AWS/Azure, Airflow/Prefect/Dagster, with MLOps practices.
From Q-tech, we are collaborating with a large European technology company , part of a leading international retail and distribution group, that is looking for a Data Engineer to join a highly innovative squad within…
This 12-month machine learning residency involves developing predictive and prescriptive AI models for construction project management. The resident will work with Amii scientists and Nialli to build AI-powered solutions using LLMs, RAG, and agentic systems.
Senior AI & Data Scientist owning models end-to-end—from problem framing through production—using Python, ML algorithms, and LLMs (RAG, fine-tuning, evaluation) on client consulting engagements.
Develop and deploy ML models for risk scoring and threat intelligence on a cybersecurity ratings platform, using Python, ML frameworks like scikit-learn/XGBoost/PyTorch, and cloud-based data pipelines.
Designs scalable data pipelines, ensures data quality, and drives data modeling for plant breeding using Python, R, SQL, and AWS.
Data Science Engineer developing, validating, and deploying ML, Deep Learning, and Generative AI models into production, while building data pipelines and supporting model monitoring using Python, SQL, and standard data science libraries.
Lead a team to design and deploy AI-powered cybersecurity applications using Python, ML frameworks, and Kubernetes, integrating security tools and REST APIs.
This Manager role at Deloitte involves leading AI engineering workstreams to build and scale production-ready AI and Generative AI solutions for Civil Government clients. The position requires hands-on engineering expertise in Python and cloud platforms, combined with stakeholder management and delivery leadership in secure, regulated environments.
The Senior Data Engineering Manager leads a team of data scientists and engineers to develop data-driven perception and planning solutions for autonomous driving systems. The role involves defining technical strategy, managing large-scale data pipelines, and collaborating across global teams to improve ML model performance.
The Data Scientist / Machine Learning Engineer will design, train, and deploy AI/ML models into production environments using Python, deep learning frameworks, and cloud platforms like Azure or Google Cloud. The role involves working on NLP, clustering, and generative AI projects while ensuring compliance with responsible AI standards.
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