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Machine Learning

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🔥 Technical Presales Engineer

Posted 39 minutes 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 39 minutes ago

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🔥 Staff Software Engineer - Bidding Intelligence

Posted about 1 hour 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 1 hour ago

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🔥 Senior Data Scientist (NLP)

Posted about 1 hour 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 1 hour ago

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🔥 Senior Consultant, Discovery & Translational Science Consulting

Posted about 1 hour 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 1 hour ago

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

Posted about 1 hour 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 1 hour ago

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🔥 Senior Machine Learning Engineer (Spain remote)

Posted about 2 hours ago

📍 Spain

🔍 Software Development

🔧 Requirements

Strong expertise in computer vision and deep learning
Experience as a tech lead

💡 Responsibilities

Develop the fastest, most accurate detection engine that tackles critical challenges in face image security.
Work with state-of-the-art deep learning models and computer vision algorithms
Guide technical strategy and mentor engineers

Docker Leadership Python Agile Git Image Processing Keras Kubernetes Machine Learning PyTorch SCRUM Algorithms Data Structures Tensorflow CI/CD RESTful APIs Mentoring Linux Data analytics

Posted about 2 hours ago

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🔥 Middle NLP Engineer

Posted about 2 hours ago

📍 Serbia

🧭 Full-Time

🔍 Software Development

🏢 Company: Social Discovery Group👥 501-1000 Venture Capital Finance Information Technology

🔧 Requirements

Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly)
Excellent coding skills
Strong knowledge of LLMs: APIs, best models, and prompting techniques
Familiarity with Data & ML production pipelines (Airflow, MlFlow)
Proven experience working on ML solutions

💡 Responsibilities

Work on NLP-related tasks as part of the team, including writing prompts, creating functions, and fine-tuning models when necessary
Build ML/AI models, write services (if needed for the project), wrap them into Docker
Collaborate with cross-functional team of: Product owner, Analytics, ML
Share ideas and help with knowledge with the team

AWS Docker Python Data Analysis GCP Machine Learning MLFlow Numpy Airflow Algorithms Azure REST API Pandas

Posted about 2 hours ago

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🔥 Director of Data Engineering (Remote USA)

Posted about 3 hours ago

📍 United States

💸 92000.0 - 180000.0 USD per year

🔍 Software Development

🔧 Requirements

Strong experience leading/managing a team of software engineers to develop applications
Ability to work closely with other leaders to scale our technology and the Engineering organization
Ability to work closely with key internal stakeholders to develop and manage the engineering roadmap
Ability to drive technical projects and planning
Strong communication skills; able to disseminate information across the organization and have strategic influence
A minimum of 7 years’ experience developing production-grade systems
A minimum of 5 years’ experience managing developers and DevOps teams

💡 Responsibilities

Define and enforce IT policies related to cloud security, software development and DevOps best practices to ensure scalable and secure systems
Provide strategic support and challenge decisions through thought-provoking questions.
Understand data governance; create and maintain policies and procedures while implementing data management systems and ensuring compliance with regulations.
Simplify complex problems to make them manageable for the organization
Drive organizational change effectively
Foster strong cross-functional communication and collaboration
Lead software engineering teams in cloud-native environments, particularly Microsoft Azure
Drive the adoption of cloud best practices, microservices, and scalable architecture
Establish coding standards, best practices, and governance policies to ensure maintainable, scalable, and secure software solutions.
Cloud Optimization – Ensure efficient use of Azure services while optimizing performance, scalability, and cost.
Effectively manage remote engineers
Provide technical and organizational leadership across the engineering team
Coach/mentor team members to encourage professional and career growth

Leadership Software Development SQL Cloud Computing ETL Machine Learning Microsoft Azure People Management Cross-functional Team Leadership Algorithms Azure Data engineering Data science Communication Skills Analytical Skills CI/CD DevOps Microservices Data visualization Stakeholder management Data modeling Data management

Posted about 3 hours ago

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🔥 (Remote )Senior AI Workflow Automation Engineer - #34218

Posted about 4 hours ago

📍 Philippines

🏢 Company: Manila Recruitment👥 11-50 Staffing Agency Consulting Human Resources Recruiting Social Media

🔧 Requirements

3+ years of experience in AI-driven workflow automation and process optimization.
Strong knowledge of Python for automation, scripting, and AI model integration.
Experience with workflow automation tools (Monday.com, Gumloop, Make, Zapier, UiPath, Power Automate, etc.).
Proficiency in REST APIs, Webhooks, and third-party service integrations.
GIS knowledge, especially open source like QGIS, is highly desirable but not mandatory.
Hands-on experience with data visualization and business intelligence tools (Power BI, Tableau).
Familiarity with cloud services (AWS, Azure, Google Cloud,) and AI frameworks.
analytical and problem-solving skills with attention to detail.
Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.

💡 Responsibilities

Design and implement AI-driven automation workflows using tools like Monday.com, Gumloop/n8n, Make, Zapier, UiPath, and other RPA platforms.
Develop/implement Python scripts for data processing, workflow automation, and AI model integration.
Optimize business operations through intelligent decision-making algorithms.
Automate workflows in Monday.com, Visio, Power BI, Google Suite, and other relevant enterprise tools.
Develop and maintain custom automation solutions integrating APIs and third-party services.
Work with structured and unstructured data to automate decision-making processes.
Utilize AI/ML models to enhance automation and business intelligence.
Develop and fine-tune predictive analytics and visualization solutions for process optimization and market analysis.
Integrate natural language processing (NLP) and AI chatbots into automation workflows where applicable.
Implement error-handling mechanisms and monitoring tools for automation processes.
Conduct regular performance analysis to ensure efficiency and scalability.
Maintain documentation and provide training for stakeholders on automated workflows.
Identify, document, and track defects in collaboration with development teams, ensuring timely resolution and validation.
Architect and enhance test automation frameworks to support functional, regression, integration, and performance testing across web, mobile, and/or API-based applications.
Contribute to performance and load testing initiatives using tools like JMeter, LoadRunner, or Gatling (as applicable).
Proactively identify areas for improvement in testing processes, tools, and workflows, and implement solutions to enhance efficiency and effectiveness.
Work closely with cross-functional teams to understand requirements, resolve issues, and ensure alignment on quality goals.

AWS Python SQL Artificial Intelligence Business Intelligence Cloud Computing Data Analysis ETL GCP Machine Learning Microsoft Power BI Numpy Tableau API testing Azure REST API Pandas Analytical Skills Problem Solving RESTful APIs Attention to detail Excellent communication skills JSON Data visualization Data modeling Scripting

Posted about 4 hours ago

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🔥 Senior DevOps / Platform Engineer

Posted about 4 hours ago

📍 Canada

🧭 Full-Time

💸 135000.0 - 150000.0 CAD per year

🔍 Software Development

🏢 Company: Datatonic

🔧 Requirements

4+ years of experience in the DevOps field or as a Platform Engineer
Proficiency in Python, Java, or Go programming languages
In-depth knowledge of CI/CD tools and processes
Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.
Proficiency with technologies such as Terraform and Kubernetes

💡 Responsibilities

Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.
Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.
Define and embed best practices into our internal processes to enhance the quality and consistency of our work
Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies
Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements
Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials
Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers
Collaborate closely with partners such as Google to leverage their technologies effectively
Guide team members, fostering a culture of growth and innovation
Provide expert advice to customers on DevOps best practices
Establish and enhance DevOps functions within clients’ organisations
Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery

Leadership Python Agile GCP Kubernetes Machine Learning Data engineering Communication Skills Analytical Skills CI/CD Problem Solving Customer service RESTful APIs Mentoring Linux DevOps Terraform Excellent communication skills Teamwork Scripting

Posted about 4 hours ago

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