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2,544 jobs found.

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🔥 Data Scientist II

Posted 1 minute ago

📍 Canada

🧭 Full-Time

💸 100000.0 - 132000.0 CAD per year

🔍 Software Development

🏢 Company: Palmstreet👥 51-100💰 Pre-seed over 3 years agoInternet Communities Marketplace E-Commerce Consumer Goods Social Shopping

🔧 Requirements

2+ years of analytics experience in growth market, campaigns, user behaviors or economics.
2+ years of hands-on ML experience in supervised and unsupervised learning techniques.
Proficiency in Python and SQL with big data fundamentals on a cloud platform.
Ability to identify and propose growth opportunities actively.
Passion for working in a fast-paced startup environment, making difference and driving meaningful impact.
Proven ability to collaborate effectively in a fully remote work setting.

💡 Responsibilities

Develop scalable ETL pipelines to process and analyze terabytes of user interaction data.
Define, visualize and monitor key business and product metrics to inform decision-making.
Build, deploy, A/B test and iterate on ML products using appropriate algorithms and infrastructures.
Partner with PMs, designers and engineers to develop scalable AI/ML-driven products.
Successfully completes projects at large scope while maintaining a consistent high level of productivity and standard.

AWS Python SQL Cloud Computing Data Analysis ETL Machine Learning Algorithms API testing Data science Data visualization A/B testing

Posted 1 minute ago

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🔥 Data Analyst

Posted 17 minutes ago

📍 Kuala Lumpur, Malaysia, The Philippines

🔍 Financial Technology

🏢 Company: MoneySmart Group

🔧 Requirements

3+ years of experience as a Data Analyst or in a similar analytical role
Strong analytical and problem-solving skills, with the ability to translate data into meaningful insights for business teams
Experience in data visualization and reporting, with the ability to present findings to non-technical stakeholders using tools such as Holistics, Power BI, or similar
Hands-on experience with SQL and Python for querying and analyzing data
Understanding of AI-driven analytics and automation, with a focus on developing self-serve solutions for stakeholders
Proficiency in applying data analytics to business problems, particularly in marketing or customer behavior analysis
Basic understanding of ML techniques such as Regression, Clustering, or Customer Segmentation (Nice to have but not mandatory)
Self-motivated and detail-oriented, with a keen interest in exploring data to uncover insights and optimize processes
Ability to collaborate with across all departments to define reporting requirements and ensure data-driven decision-making
Ability to train non-technical users on BI tools for simple reporting and analysis use cases

💡 Responsibilities

Work closely with cross-functional teams, including product, marketing, engineering, and operations, to understand business challenges and analytical requirements, ensuring alignment with company objectives
Support data governance initiatives by ensuring data accuracy, consistency, and accessibility across teams
Develop and optimize BI reports and dashboards, enabling stakeholders to derive insights efficiently
Analyze and interpret data to uncover trends, patterns, and actionable insights that drive business decisions
Assist in designing and implementing data models to improve reporting accuracy and analytical capabilities
Create data visualizations and reports that communicate insights effectively to non-technical stakeholders
Leverage automation and AI-based self-serve solutions to streamline reporting and analytics processes
Collaborate with Data Engineers to ensure seamless data integration and maintain data pipelines for analytics
Provide training and support to business users, helping them utilize BI tools for self-service reporting and decision-making

Python SQL Business Intelligence Data Analysis Data Mining ETL Machine Learning Microsoft Power BI Reporting Data visualization Data modeling Data analytics

Posted 17 minutes ago

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🔥 Data Scientist - German speaker - Full Remote

Posted about 1 hour ago

📍 Germany

🧭 Full-Time

🔍 Insurance

🏢 Company: Shift Technology👥 501-1000💰 Series D over 3 years agoArtificial Intelligence (AI)Machine Learning InsurTech Information Technology Insurance

🔧 Requirements

Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users - writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
AI-savvy, either by having a degree in machine learning, or statistics, or having hands-on experience with AI- and GenAI-based methods and models to tackle complex business problems.
Clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis.
Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products.
Advanced command of German and English, both written and spoken, equivalent to a native speaker.

💡 Responsibilities

Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
Developing, testing, and tuning models using GenAI, AI, and business rules, and putting them in production for tasks such as fraud detection and automation detection in complex environments.
Automate key business tasks by implementing them in our production process framework in C#
Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions

Python SQL ElasticSearch ETL Machine Learning Numpy C#Algorithms Data engineering Data science REST API Pandas Client relationship management Data visualization Data modeling

Posted about 1 hour ago

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🔥 Site Reliability Engineer

Posted about 1 hour ago

📍 United States of America

💸 63000.0 - 108675.0 USD per year

🏢 Company: vspvisioncareers

🔧 Requirements

Bachelor’s Degree in Computer Science or related field and/or equivalent experience
4+ years of related functional experience
Experience with both Windows and Linux, as well as containerization software products
Functional with continuous integration and continuous delivery
Experience with automation and orchestration using Chef, Puppet, Ansible and containers
Coding skills beyond simple scripts and knowledge of application architecture
Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++/C#, Ruby, and JavaScript
Understanding of distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (OpenShift, Kubernetes, Yarn)
Skilled in spotting problems and identifying performance bottlenecks, leading to problem and root cause analysis and risk mitigation
Capacity monitoring and performance planning experience with cloud solutions like AWS using applications such as Dynatrace, New Relic, App Dynamic

💡 Responsibilities

Use engineering design concepts to recommend design or test methods for attaining or improving operational reliability in support of business objectives.
Develop and implement high-reliability tools, systems, and services using engineering methodologies and tools.
Determine reliability requirements and deliver insights from massive scale data in real time.
Propose changes in design or formulation to improve system and/or process reliability.
Utilize best practices and work with cross-functional teams to provide solutions and a positive user experience.
Improve reliability, quality, and time-to-market for suite of software solutions, through effective hosting, monitoring, operations, and automation
Develop proprietary tools to improve system reliability and mitigate weaknesses in incident management or software delivery
Collaborate with team members to troubleshoot and fix issues utilizing knowledge of problems to route support escalation issues to the appropriate teams
Add automation for improved collaborative response in real-time, updates documentation, runbook tools, and modules to prepare teams for incidents
Support optimizing the software development life cycle to boost service reliability, based on post-incident reviews
Support system cost modeling for all hosted systems
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
Deliver primary operational support and engineering for distributed software applications
Implement guidelines and plans for automated systems delivery maintaining system and data security
Assist with impact analysis regarding enterprise-wide technology
Perform capacity monitoring with various monitoring tools (Splunk, Dynatrace, etc.) and make recommendations
Gather and analyze metrics from both operating systems and applications to assist in performance tuning, fault finding, and corrective action planning
Support system integration, software, and hardware at enterprise level for optimum performance
Partner with development teams to improve services through rigorous automated testing and release procedures
Contribute to system architecture planning, and policies and procedures surrounding enterprise-wide technology
Participate in system design consulting, platform management, and capacity planning
Stay abreast of new technologies; introduce applicable technology in alignment with business goals and for creative solutions

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Data Analysis DynamoDB ElasticSearch Git Java Kafka Kubernetes MySQL Oracle Rabbitmq Software Architecture Zabbix Algorithms Cassandra Data Structures Prometheus Redis Spark Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Linux DevOps Terraform Microservices Teamwork Troubleshooting JSON Cross-functional collaboration Ansible Scripting Debugging

Posted about 1 hour ago

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🔥 Frontend Engineer - Web+Mobile, Courier Group

Posted about 2 hours ago

📍 Finland, Germany, Sweden

🔍 Software Development

🏢 Company: Wolt - English

🔧 Requirements

Solid experience using modern Typescript and React in the frontend and building solid scalable services and well-structured applications using them.
React Native and app development experience (Android or iOS) is a plus

💡 Responsibilities

Building scalable services and well-structured applications using Typescript and React.

Backend Development Python Software Development Frontend Development Git React Native TypeScript REST API React Communication Skills Problem Solving Agile methodologies Scala

Posted about 2 hours ago

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🔥 Senior Engineering Manager, Data

Posted about 2 hours ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: Frequence

🔧 Requirements

10+ years of experience in software development, including 5+ years in leadership roles managing managers and leading high-performing engineering teams.
A deep understanding of design patterns, software development methodologies, and distributed systems architecture.
Hands-on experience with relevant technologies and tools, such as Airflow, Spark, and streaming architectures.
Well-versed in data pipelining, data warehousing, data modeling, data streaming, streaming architectures, database performance and ETL processes.
Experience in cloud infrastructure (preferably GCP) and have built large-scale, distributed systems with a focus on reliability, observability, and cost efficiency.
Data-driven, using metrics and analytics to track team performance, identify areas for improvement, and drive strategic decisions.

💡 Responsibilities

Identify and drive new strategic opportunities.
Weave AI into current data and reporting solutions.
Ensure the reliability, security and performance of database systems.
Work closely with executive leadership and other engineering leaders.
Manage managers and work effectively with skip-level employees.
Drive the planning and estimation process for cross-functional initiatives.
Proactively identify risks and implement mitigation strategies.
Advocate for strong engineering practices and software architecture improvements.
Ensure that engineering outcomes have a measurable impact on company top-line or bottom-line performance.

Leadership Project Management Python Software Development SQL Cloud Computing Data Analysis ETL GCP Kafka Kubernetes Machine Learning People Management Software Architecture Cross-functional Team Leadership Airflow Algorithms Data engineering REST API Strategic Management Spark Communication Skills Analytical Skills CI/CD Agile methodologies DevOps Microservices Risk Management Data visualization Team management Stakeholder management Data modeling Data management Budget management

Posted about 2 hours ago

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🔥 Senior Site Reliability Engineer

Posted about 2 hours ago

📍 United States, Europe

🧭 Full-Time

🔍 Software Development

🏢 Company: Dune👥 101-250

🔧 Requirements

Proven expertise in managing and optimising bare-metal infrastructure and containerised environments.
Experience with infrastructure-as-code and orchestration tools.
Strong understanding of system performance, debugging, and optimization across diverse environments.
Ability to collaborate with interdisciplinary teams and communicate complex technical concepts clearly.
Solid foundation in computer science fundamentals and system design.
Ability to work collaboratively in a remote setting, contributing to a positive and inclusive team culture.
5+ years of experience as a systems or infrastructure engineer in a collaborative, problem-solving environment.
Experience with distributed systems and managing large-scale, high-availability environments.
Hands-on experience with Nomad or Kubernetes for workload orchestration in production environments.
Proficiency in infrastructure-as-code tools like Ansible and Terraform, with a proven ability to automate and manage complex systems.
Experience with bare-metal infrastructure.
Proficiency in scripting or programming languages such as Python, Go, or Bash.
Experience with monitoring and observability tools for infrastructure performance.
Familiarity with cloud cost management and performance improvement strategies.
Strong analytical and troubleshooting skills.
Experience working across multiple time zones.

💡 Responsibilities

Collaborate closely with interdisciplinary teams to ensure the infrastructure meets the demanding performance, reliability, and scalability needs of our products.
Embrace the Platform team's mission to empower product teams with efficient, low-overhead services by developing and maintaining robust infrastructure and scalable services.
Design and maintain highly reliable containerized environments, ensuring seamless operation of our critical systems.
Analyze system performance to identify bottlenecks, proposing and implementing solutions to enhance infrastructure efficiency.
Contribute to maintaining high system reliability and scalability, focusing on unique and challenging technical problems.

Docker Python SQL Bash Cloud Computing Git Kubernetes Go REST API CI/CD Linux DevOps Terraform Ansible Scripting Debugging

Posted about 2 hours ago

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🔥 Member of Technical Staff

Posted about 3 hours ago

📍 UK

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Moonvalley AI

🔧 Requirements

MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision.
Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS).
Exceptionally strong Python skills - Minimum 5 years of experience.
Knowledge of CNN, RNN/LSTM/GRU, and Transformer models.
Rapid prototyping using open-source algorithms and shaping them to meet product needs.
Experience deploying ML models in the Cloud.
Prior experience with AWS and related services.
Experience with databases (Postgres/MySQL).
ML framework: Pytorch / Tensorflow.

💡 Responsibilities

Work closely with academic advisors to incorporate cutting-edge research into our product.
Contribute to R&D projects aimed at developing computer vision models.
Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products.
Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines.
Conducting experiments, analyzing results, and iterating on models to optimize performance.
Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models.
Experiment, validate, and iterate on machine learning models specific to video and image processing.
Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance.

AWS PostgreSQL Python Artificial Intelligence Cloud Computing Image Processing Machine Learning MySQL PyTorch Algorithms Data Structures REST API Tensorflow Data modeling

Posted about 3 hours ago

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🔥 Cybersecurity Analyst

Posted about 3 hours ago

📍 Philippines

🔍 Cybersecurity

🔧 Requirements

Strong understanding of network protocols, security concepts, and cyber threats
Proficiency in using security tools like SIEM (Security Information and Event Management), firewalls, intrusion detection/prevention systems (IDS/IPS), and endpoint protection
Experience with log analysis and event correlation
Ability to analyze network traffic and identify malicious activity
Knowledge of scripting languages (e.g., Python) can be beneficial
Excellent problem-solving and critical thinking skills
Strong communication and collaboration skills to effectively escalate issues and coordinate with other teams
Cybersecurity certifications like GMON, GCIH or Security+ are preferred but not required

💡 Responsibilities

Actively monitor network traffic, system logs, and security tools to detect malicious activity and anomalies.
Analyze security alerts, correlate events, and determine the severity of potential threats to identify malicious actors and their tactics.
Investigate security incidents, gather evidence, and implement appropriate response actions to contain and remediate cyberattacks.
Identify and assess system vulnerabilities, prioritize patching, and work with relevant teams to address security gaps.
Prepare detailed reports on security incidents, threat intelligence, and operational metrics to inform stakeholders and leadership.
Assist in creating and updating security signatures for detection tools based on emerging threats.
Stay informed about current cyber threats and trends to proactively identify potential risks.
Work with other security teams, including incident responders, network engineers, and security architects, to coordinate security efforts.

Python Cybersecurity Linux Reporting Scripting

Posted about 3 hours ago

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🔥 Graduate Backend Engineer - Python

Posted about 4 hours ago

📍 Poland

🧭 Full-Time

🔍 Software Development

🏢 Company: YouGov👥 501-1000💰 $293,437,993 Post-IPO Debt over 1 year ago🫂 Last layoff 5 months agoInternet Database Ad Targeting Consulting Business Intelligence Internet of Things Big Data Market Research Analytics Software

🔧 Requirements

Strong understanding of Python programming and familiarity with its core libraries and frameworks (e.g., Django, Flask, or FastAPI).
Familiarity with databases such as PostgreSQL, MySQL, or MongoDB.
Understanding of version control systems (e.g., Git).
Strong verbal and written communication skills in English.
A proactive attitude and eagerness to learn and improve.
Strong analytical and problem-solving skills, with attention to detail.

💡 Responsibilities

Develop, test, and maintain high-quality Python code under the guidance of senior engineers.
Participate in all phases of the software development lifecycle, from design and development to testing and deployment.
Write clean, well-documented, and maintainable code.
Collaborate effectively with other team members, including senior engineers, product managers, and designers.
Learn and adapt to new technologies and best practices quickly.
Participate in code reviews and learn from feedback.
Troubleshoot and debug issues with support from senior engineers.
Contribute to the overall success of the engineering team.

Backend Development PostgreSQL Python Software Development SQL Git RESTful APIs

Posted about 4 hours ago

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