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131 jobs found.

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🔥 Middle NLP Engineer

Posted about 1 hour 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 1 hour ago

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

Posted about 3 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 3 hours ago

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🔥 Senior Consultant, Discovery & Translational Science Consulting

Posted about 4 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 4 hours ago

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🔥 Machine Learning Engineer Internship, WebML - EMEA Remote

Posted about 13 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 13 hours ago

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🔥 Senior Software Engineer, AI

Posted about 19 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 19 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 19 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 19 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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🔥 Senior Machine Learning Engineer II

Posted 2 days ago

📍 India

🔍 Software Development

🏢 Company: Apollo.io👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

8+ years of experience building Machine Learning or AI systems
Experience deploying and managing machine learning models in the cloud
Experience working with fine tuning LLMs and prompt engineering
Strong analytical and problem-solving skills
Proven software engineering skills in production environment, primarily using Python
Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

💡 Responsibilities

Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
Understand the Machine Learning stack at Apollo and continuously improve it
Build systems that help Apollo personalize their users’ experience
Evaluate the performance of machine learning systems against business objectives
Develop and maintain scalable data pipelines that power our algorithms
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
Write unit/integration tests and contribute to engineering wiki

Python SQL Apache Airflow Cloud Computing Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms REST API Tensorflow Software Engineering

Posted 2 days ago

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🔥 Staff Machine Learning Engineer, Inclusive AI

Posted 3 days ago

📍 United States

💸 233302.0 - 480328.0 USD per year

🔍 Software Development

🔧 Requirements

Experienced Engineer with production experience in ML and responsible technology (fairness, diversity, equity) deployments in production systems.
Familiarity with state of the art ML approaches, especially within the Search and RecSys space, such as transformer based architectures, n-tower architectures, LLMs, etc.
Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to bridge state of the art approaches to real world impact.
Some experience in leadership roles where the candidate has been able to define a vision, strategy and plans, with concrete OKRs and execute on them to deliver solutions in production that have a positive impact for users.
8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
3+ years experience leading cross-team engineering efforts.
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Experience in working on backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.
Experience in closely collaborating with other engineering teams to ship ML technologies to improve fairness and reduce bias for recommendation, content understanding, and ranking systems at scale.

💡 Responsibilities

Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI.
Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness tooling across Pinterest.
Mentor junior engineers on the Inclusive AI team and across the company on the Inclusive AI / ML Fairness space.
Work with the team and senior leaders at the company to define and drive technical strategy in this area.

AWS Backend Development Leadership Python Software Development SQL Artificial Intelligence Cloud Computing Data Analysis Image Processing Keras Machine Learning MLFlow Numpy PyTorch Cross-functional Team Leadership Algorithms Data Structures REST API Tensorflow Mentoring

Posted 3 days ago

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