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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 Engineer - Application Support

Posted about 3 hours ago

📍 India

🏢 Company: YipitData (Alternative)

🔧 Requirements

5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
Demonstrate strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
Proficient in Python, Docker, AWS, REST APIs, and database technologies.

💡 Responsibilities

Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWS Docker Python SQL REST API Pandas Spark CI/CD RESTful APIs Troubleshooting Data analytics Debugging

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 Application Support Engineer

Posted about 5 hours ago

📍 India

🔍 Software Development

🏢 Company: YipitData👥 251-500💰 Debt Financing 9 months agoMarket Research Analytics Data Visualization

🔧 Requirements

5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
Strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
Are proficient in Python, Docker, AWS, REST APIs, and database technologies.

💡 Responsibilities

Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWS Docker Python SQL Git REST API Pandas Spark Troubleshooting Data analytics Debugging

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: 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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🔥 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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🔥 Junior Full Stack AI Engineer

Posted about 24 hours ago

📍 Worldwide

🧭 Full-Time

🔍 AI

🏢 Company: Creai

🔧 Requirements

Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
Proven ability to tackle complex problems using data analytics and predictive modeling.
Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
Familiarity with data structures, data modeling, and software architecture principles.

💡 Responsibilities

Design, build, and maintain efficient machine learning models and full-stack solutions from prototype to production, optimizing performance, scalability, and cost.
Work closely with data scientists, software engineers, and product managers to integrate AI models into broader software systems, ensuring seamless functionality.
Analyze large datasets, develop predictive models, and apply advanced statistical techniques to address client-specific challenges.
Continuously improve existing systems and algorithms for speed, efficiency, and reliability.
Utilize cloud platforms (AWS, Google Cloud, Azure) to deploy and scale AI solutions, leveraging services that enhance performance and cost-effectiveness.
Stay informed about the latest AI and machine learning trends and technologies, ensuring that Creai remains competitive.
Document development processes and present technical results to technical and non-technical stakeholders.

AWS Python SQL Cloud Computing Data Analysis Full Stack Development Java Machine Learning PyTorch Software Architecture Azure Pandas Tensorflow Communication Skills RESTful APIs Scala Data modeling

Posted about 24 hours ago

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🔥 Senior Application Support Engineer

Posted 1 day ago

📍 India

🔍 Market Research and Analytics

🔧 Requirements

5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
Strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
Proficient in Python, Docker, AWS, REST APIs, and database technologies.

💡 Responsibilities

Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWS Docker Python SQL Git API testing REST API Pandas Spark CI/CD RESTful APIs Linux Troubleshooting Data modeling Scripting Data analytics Debugging

Posted 1 day ago

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🔥 Data Engineer

Posted 1 day ago

📍 United States

🧭 Full-Time

🔍 Sustainable Agriculture

🏢 Company: Agrovision

🔧 Requirements

Experience with RDBMS (e.g., Teradata, MS SQL Server, Oracle) in production environments is preferred
Hands-on experience in data engineering and databases/data warehouses
Familiarity with Big Data platforms (e.g., Hadoop, Spark, Hive, HBase, Map/Reduce)
Expert level understanding of Python (e.g., Pandas)
Proficient in shell scripting (e.g., Bash) and Python data application development (or similar)
Excellent collaboration and communication skills with teams
Strong analytical and problem-solving skills, essential for tackling complex challenges
Experience working with BI teams and tooling (e.g. PowerBI), supporting analytics work and interfacing with Data Scientists

💡 Responsibilities

Collaborate with data scientists to ensure high-quality, accessible data for analytical and predictive modeling
Design and implement data pipelines (ETL’s) tailored to meet business needs and digital/analytics solutions
Enhance data integrity, security, quality, and automation, addressing system gaps proactively
Support pipeline maintenance, troubleshoot issues, and optimize performance
Lead and contribute to defining detailed scalable data models for our global operations
Ensure data security standards are met and upheld by contributors, partners and regional teams through programmatic solutions and tooling

Python SQL Apache Hadoop Bash ETL Data engineering Data science RDBMS Pandas Spark Communication Skills Analytical Skills Collaboration Problem Solving Data modeling

Posted 1 day ago

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