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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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🔥 Middle NLP Engineer

Posted about 3 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 3 hours ago

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🔥 Senior ML Engineer - Content and Contributor Intelligence (Remote - United Kingdom)

Posted about 4 hours ago

📍 United Kingdom

🔍 Software Development

🔧 Requirements

Experience developing and productionizing machine learning models, including their supported data pipeline.
Experience with machine learning using packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, Sklearn, etc.
Strong coding skills in Python or equivalent (Python, Java and C++).
Solid understanding of engineering and infrastructure best practices.

💡 Responsibilities

Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Work with large and complex datasets.
Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
Work in the content and contributor intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
Productionize and automate model pipelines within Python services.
Drive and advocate adoption of best practices in MLOps (Machine Learning Operations).

Python SQL Apache Airflow Data Analysis Image Processing Kubeflow Machine Learning NLTK Numpy PyTorch C++Algorithms Data engineering Data Structures REST API Pandas Spark Tensorflow Data modeling

Posted about 4 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 Consultant, Discovery & Translational Science Consulting

Posted about 5 hours ago

📍 United States of America

🧭 Full-Time

🔍 Biotechnology, Pharmaceutical, Healthcare

🏢 Company: clarivate_careers

🔧 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.

AWS Docker Python SQL Apache Airflow Apache Hadoop Cloud Computing Data Analysis Data Mining ETL Flask Image Processing Kafka Kubernetes Machine Learning Numpy PyTorch Algorithms Data engineering Data science Data Structures RDBMS Nosql Pandas Tensorflow CI/CD RESTful APIs Terraform JSON Data visualization Ansible Data modeling Data analytics Data management

Posted about 5 hours ago

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🔥 Machine Learning Engineer Internship, WebML - EMEA Remote

Posted about 15 hours ago

📍 France

🧭 Internship

🔍 Machine Learning

🏢 Company: Hugging Face👥 51-200💰 $235,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

Interest in open-source, passion for making complex technology accessible, and a desire to contribute to a fast-growing ML ecosystem.

💡 Responsibilities

Converting and optimizing models for in-browser inference (ONNX, quantization)
Enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM)
Building demo applications to showcase new features
Fostering a collaborative open-source community

Python Frontend Development Git Javascript Machine Learning Numpy OpenCV PyTorch React.js TypeScript Algorithms Data Structures REST API Tensorflow Web3.js CI/CD RESTful APIs NodeJS Software Engineering

Posted about 15 hours ago

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🔥 Senior Software Engineer, AI

Posted about 20 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

5+ years of engineering experience
Excitement for product-focused application of ML/AI - this will be a production-focused role
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
Experience in developing, testing, evaluating and deploying ML models
Ability to collaborate on all aspects of product strategy and UX
Experience shaping an early stage tech stack and product, and engineering organization

💡 Responsibilities

Be an essential technical contributor at a Series B company as it scales.
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.

AWS Backend Development GraphQL PostgreSQL Python SQL Artificial Intelligence Cloud Computing Data Analysis Data Mining Full Stack Development Git Keras Machine Learning Numpy PyTorch React.js Software Architecture TypeScript Data engineering REST API Pandas React Tensorflow CI/CD DevOps NodeJS Software Engineering

Posted about 20 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 20 hours ago

📍 USA

🧭 Full-Time

🔍 Audit and advisory

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

4-5 years of experience in applied machine learning or related field
Strong proficiency in Python and its ML/data science libraries
Extensive experience with NLP techniques and generative AI technologies
Experience with LLMs and both text-to-text and text-to-image generative models
Proficiency in working with large datasets and creating ETL processes
Experience with version control systems (e.g., Git) and CI/CD practices
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Collaborate with stakeholders to identify and map business problems to ML solutions
Design, develop, and implement ML models with a focus on NLP and generative AI applications
Curate, clean, and prepare data for model development and training
Create and maintain ETL jobs for data processing
Conduct rapid prototyping of ML solutions to quickly iterate on ideas
Stay current with the latest advancements in ML, particularly in NLP and generative AI
Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
Implement data flywheels to continuously improve ML features through increased usage
Define and implement ML performance metrics
Contribute to the product roadmap with ML-driven feature ideas
Be an essential technical contributor at a Series B-stage company as it scales

AWS Python SQL ETL Git Machine Learning Numpy Data science Pandas Tensorflow CI/CD A/B testing

Posted about 20 hours ago

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🔥 Staff Machine Learning Engineer

Posted 1 day ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted 1 day ago

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🔥 Backend Data Developer - Scraping & Conversión de Java a Python

Posted 1 day ago

📍 Argentina, Colombia, Peru, Bolivia, Plurinational State of, Mexico

🧭 Contract

💸 2300.0 - 2500.0 USD per month

🔍 Software Development

🏢 Company: Workana

🔧 Requirements

Experience with Selenium, Puppeteer or Playwright.
Experience with Java (Spring Boot, Jsoup, HttpClient) and Python (Scrapy, Selenium, Playwright, FastAPI).
Experience with pandas and NumPy.
Knowledge in SQL databases (PostgreSQL, MySQL, SQL Server).
Implementation of scrapers in scalable environments with Docker and Kubernetes.
Deployment in AWS or GCP.

💡 Responsibilities

Development and maintenance of scrapers for extracting data from web portals.
Refactorization and optimization of legacy scrapers in Java towards Python.
Implementation of more efficient architectures to improve performance.

AWS Backend Development Docker GraphQL PostgreSQL Python SQL Apache Airflow ETL GCP Java Java EE Kubernetes MySQL Numpy Spring Boot Data engineering FastAPI REST API Pandas Selenium CI/CD Microservices JSON Data management

Posted 1 day ago

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