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Machine Learning

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1,132 jobs found.

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🔥 Data Scientist II

Posted 5 minutes 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 5 minutes ago

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🔥 Data Analyst

Posted 21 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 21 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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🔥 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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🔥 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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🔥 Technical Presales Engineer

Posted about 5 hours ago

📍 Czech Republic

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Rossum👥 251-500💰 Debt Financing about 1 year agoArtificial Intelligence (AI)SaaS Machine Learning Document Management Software

🔧 Requirements

Experience in a customer facing role - you ran in depth technical discovery, mapped out complex customer processes and designed solutions to address their needs.
Amazing presenter, always thinking about how to pass the message in the most effective way, customizing your every presentation and demo.
Technically savvy - you can explain complex technical concepts in a simple way, making it easy for the business to understand.
Happy to hack a small script in python or play with different configuration files to achieve the best solution.
Experience with artificial intelligence or have the will and ability to learn basic concepts in AI.

💡 Responsibilities

Provide strategic technical advisory to prospects, customers, and Rossumers.
Analyze customer needs, run discovery and demonstrations, and implement an end to end proof of concept.
Be responsible for the communication between the GTM organization and the technical teams.

Python SQL Artificial Intelligence Data Analysis Machine Learning Communication Skills Analytical Skills Customer service RESTful APIs Presentation skills Sales experience Scripting Customer Success English communication

Posted about 5 hours ago

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🔥 Staff Software Engineer - Bidding Intelligence

Posted about 5 hours ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, WA

🧭 Full-Time

💸 165000.0 - 225000.0 USD per year

🔍 Software Development

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🔧 Requirements

8+ years of industry experience in Software Engineering and/or Infrastructure
B.S. or higher in Computer Science
Very strong coding ability
Deep understanding of computer architectures, data structures, and algorithms
Experience building low-latency, high-throughput, distributed backend services
Experience building data-intensive applications
Good team communication and collaboration skills

💡 Responsibilities

Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
Work with an experienced team of ML, Software, and Infrastructure Engineers
Design, engineer & implement reliable, scalable, and cost-efficient systems
Achieve core business objectives by enabling next generation ML models and technologies
Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWS Backend Development Python Software Development Data Analysis Machine Learning PyTorch Algorithms Data Structures REST API Microservices Software Engineering

Posted about 5 hours ago

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🔥 Senior Data Scientist (NLP)

Posted about 5 hours ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
Experience with cloud platforms such as AWS and/or Google Cloud Platform.
Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
Strong mathematical foundation and analytical skills.
Excellent research and experimentation skills, including design, execution, and analysis.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Fluency in English.

💡 Responsibilities

Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWS Python Cloud Computing Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Communication Skills Analytical Skills Problem-solving skills Research Fluency in English

Posted about 5 hours ago

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🔥 Senior Consultant, Discovery & Translational Science Consulting

Posted about 5 hours ago

📍 United States of America

🧭 Full-Time

🔍 Biotechnology, Pharmaceutical, Healthcare

🏢 Company: jobs

🔧 Requirements

PhD (or equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
A minimum of five years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
Experience working in a customer-oriented consulting environment: an ability to earn customer trust through effective communication, efficiency, integrity, and deep technical expertise.
Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.

💡 Responsibilities

Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
Assist in designing and executing research methodologies to address business challenges and provide recommendations.
Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
Support proposal development by contributing to specific elements of the proposal.
Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

Data Analysis Machine Learning Data visualization Data modeling Data management

Posted about 5 hours ago

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🔥 ML Manager, Software Engineering (Decisions and Pricing Engineering EU)

Posted about 5 hours ago

📍 Spain

🧭 Full-Time

💸 101000.0 - 131000.0 EUR per year

🔍 Fintech

🔧 Requirements

Extensive experience (8+ years) in machine learning engineering, with at least 2 years in a management role.
Expertise in developing machine learning models and systems at scale, from concept through to business impact.
Proficiency in machine learning techniques, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
Strong engineering skills in Python and SQL, with experience in large-scale distributed systems such as Spark or Ray.
Passion for working with cross-functional teams including Product, Design, Analytics and Business teams.
Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software.
Track record of hiring, mentoring, coaching, and developing diverse engineering talent.
Comfortability with ambiguity and self-awareness to understand and navigate the unknown
Demonstrated experience in building and scaling platforms and distributed systems that require high availability, resilience and meeting stringent SLO objectives is required.
Excellent written and verbal English communication skills.

💡 Responsibilities

Collaborate with Product managers, cross functional engineering teams, designers and analysts to define product roadmap and execute on plan to build practical technology capabilities needed to realize the vision.
Drive planning, resource allocations, trade-offs and prioritization conversations with business and technical stakeholders to define epics in Jira and manage the quality of deliverables all the way to production
Collaborate with product and platform teams to set strategic priorities and roadmaps for machine learning projects that enhance our credit assessment capabilities.
Participate in quarterly planning and work closely with peers and teams to remove impediments, articulate tradeoffs and garner resources
Grow globally minded teams by attracting and hiring diverse talent and build a strong leadership bench. Provide tailored coaching, feedback and mentoring for Engineers and inspire a team of full stack engineers
Hire, coach, and mentor employees to increase their impact through regular performance development and feedback conversations.
Foster a respectful and supportive environment for all team members that effectively leverages the diversity of the team.
There would be an on-call rotation for this role as a requirement.

AWS Leadership Python SQL Data Analysis Full Stack Development Machine Learning Algorithms Data Structures Spark Data modeling

Posted about 5 hours ago

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