... Airflow, build internal platform applications (including config-driven UIs that let teams author and run their own ingestion and transformation jobs), and write Python libraries that other engineers across the company consume. You will also administer the data infrastructure we own, such as Snowflake, dbt Cloud, Airflow, and ...
We are seeking a DevOps Engineer to join our team. The role focuses on building and maintaining scalable, reliable, and secure cloud-based infrastructure. Key responsibilities Design and manage AWS infrastructure. Containerize applications using Docker and orchestrate with Kubernetes. Implement Infrastructure as Code using ...
... full-stack developer, responsible for building the REST APIs and web UIs needed to make this data available in a performant and reliable way. We build services in Python and React. This role suits an engineer who is accountable, collaborative, and comfortable moving between data, backend, and frontend work. There will be opportunities ...
... Engine (GKE) and Kubernetes.- Relevant Google Cloud Certification (Professional Cloud DevOps Engineer, Professional Cloud Architect, or Professional Cloud Engineer) is mandatory.- Strong experience with Terraform for Infrastructure as Code (IaC).- Experience with Docker, Helm, Git, Linux, and Shell/Python scripting.- Strong ...
... data science workloads is desirable. - Demonstrated commitment to technical rigor and model explainability through Responsible AI practices. - Proficiency in Python, SQL, and data engineering for analytical / process data modeling. - Experience in machine learning, deep learning, or optimization algorithms applied to real-world ...
... analysts to scope new requirements, prioritise the pipeline backlog, and respond quickly as new needs emerge. Required Skills • 4–5+ years of hands-on data engineering experience, ideally within financial services or data intensive environments. - Strong experience building and orchestrating data pipelines with Apache Airflow. ...
... requirements within highly regulated insurance and financial services environments. - Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, or related technical field - 8+ years of experience in solution architecture, data engineering, data science, or related technical roles - ...
... AI-driven features. Monitor model and agent performance and participate in troubleshooting and continuous improvements. Write clean, maintainable, and well-tested Python code following engineering best practices. Stay updated with the latest advancements in Machine Learning, LLMs, and Agentic AI technologies. Required Technical ...
... have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving abilities Ownership mindset with a focus on quality and scalability Additional Details • Work ...
... and business insights. Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, governance, ...
... ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience in Python Experience working ...
... 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals in statistics and machine learning. - Experience building dashboards, performance reports, or measurement frameworks that stakeholders ...
... integrate our platform into their enterprise ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI and data science. Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, ...
... will work closely with cross-functional teams to build scalable models, automate workflows, and drive business insights. Key Skills Required GenAI (prompt engineering, model fine-tuning, LLM integration) Python (Pandas, NumPy, Scikit-learn, ML/DL frameworks) SQL (advanced queries, optimization) PySpark (distributed data ...
... develop, and maintain dashboards and reports using Power BI or Tableau Write efficient and optimized SQL queries for data extraction and transformation Use Python for data analysis, automation, and advanced analytics tasks Ensure data accuracy, integrity, and consistency across reports and systems Support ad-hoc analysis ...
... drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving the way for a data culture within the organization, which leads to improved sales, cost savings, ...
... familiarity with topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt ...
... predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that directly support business growth, demand planning and supply-chain https://jobeax.com/link/nEC7Pw3JSppzjDvo RESPONSIBILITIES ...
... experience in data science or a related discipline. - Proficiency in generative AI and large language models. - Strong programming skills in languages such as Python or R. - Experience with data visualization tools and techniques. Nice to have : Familiarity with cloud platforms and tools (e.g., AWS, Google Cloud). Experience ...