AI Data Engineer - Remote Opportunity

Join our dynamic team at Jobgether as an AI Data Engineer. In this fully remote role, you will leverage your expertise to develop, implement, and optimize data pipelines that facilitate the management and processing of vast amounts of data. Your work will directly contribute to enhancing AI models and driving innovative solutions. If you are passionate about…

Join our innovative team at jobgether as a Remote AI Data Engineer. In this role, you will play a crucial part in developing and optimizing AI-driven data solutions that enhance business operations and decision-making processes. You will leverage your expertise in data engineering to design and implement scalable data pipelines, ensuring the integrity and accessibility of data across various platforms.

Join our innovative team at Jobgether as a Senior AI Data Engineer! In this fully remote role, you will leverage your expertise in artificial intelligence and data engineering to drive impactful projects. Collaborate with cross-functional teams to design, implement, and optimize data systems that enhance our AI capabilities.

Your MissionData at Scale: Take ownership of the robust pipelines and storage systems that empower petabyte-scale multimodal datasets for model training.Sustainable Platforms: Develop automated and efficient tooling and systems that facilitate processing at scale while managing numerous small heterogeneous datasets.Essential QualificationsData Engineering Expertise: Proficiency in Python ETL pipelines, infrastructure, data formats, and scalable storage systems.ML Data Operations: Experience in managing datasets, annotations, and data versioning for model training purposes.Fundamental ML Knowledge: A solid understanding of machine learning principles essential for effective collaboration with researchers and sound data platform decision-making.Agentic Engineering: Ability to articulate high-quality specifications for AI agents while ensuring effective human review of AI-generated outputs.Key ResponsibilitiesDesign, automate, maintain, and optimize Python ETL pipelines (using Spark/Ray) for extensive multimodal data.Develop and oversee data cataloging, lineage, quality assurance tools, integrity checks, access controls, and lifecycle management systems.Provide mentorship, internal tools, and documentation to team members regarding data best practices.Act as the custodian of the organization’s datasets, ensuring data health, quality, and discoverability.Challenges You Will FaceImplement high-performance multimodal data pipelines capable of processing petabyte-scale datasets across thousands of CPUs and hundreds of GPUs.Adapt data formats, storage, and processing methods to align with the latest AI advancements while ensuring backward compatibility.Scale data infrastructure to accommodate substantial growth.Ensure the data platform remains agile enough to handle numerous small heterogeneous datasets and ad hoc analytics queries.Ideal Candidate TraitsProactive Ownership: Takes initiative in prioritizing and managing tasks effectively while escalating issues promptly when priorities shift.

We are looking for an innovative and experienced Lead AI Data Engineer to join our dynamic team at jobgether. This is a fully remote position where you will play a pivotal role in shaping our AI data strategy and driving impactful projects. As a leader in this domain, you will leverage your expertise to guide our data engineering efforts, ensuring optimal performance and scalability of our AI solutions.In this role, you will collaborate closely with cross-functional teams, including data scientists and software engineers, to design and implement robust data pipelines and architectures that support advanced AI applications. Your contributions will be crucial in enhancing our data infrastructure, improving data quality, and enabling data-driven decision-making across the organization.

Join our dynamic team at Jobgether as a Senior AI Data Engineer! In this fully remote role, you will be responsible for designing and implementing advanced data solutions to leverage artificial intelligence in innovative ways. You will collaborate with cross-functional teams to enhance data-driven decision-making processes and develop robust data pipelines. Your expertise will play a crucial role in driving our AI initiatives forward.

Join the innovative team at jobgether as a Remote AI Data Engineer. In this role, you will be responsible for designing and implementing data solutions that leverage artificial intelligence to enhance decision-making processes. Collaborate with cross-functional teams to ensure data integrity and accessibility, while developing scalable systems to manage large datasets.

Join our innovative team at jobgether as a Remote Senior AI Data Engineer. In this role, you will be responsible for designing, building, and maintaining data pipelines that support our AI initiatives. You will work closely with data scientists and stakeholders to ensure data is accessible and usable for advanced analytics.If you are passionate about leveraging data to drive decision-making and enhance AI capabilities, we want to hear from you!

Join our innovative team at Jobgether as a Senior Data Engineer specializing in Artificial Intelligence. In this fully remote role, you will leverage your expertise in data engineering to design, develop, and optimize data pipelines that support AI applications. Collaborate with cross-functional teams to enhance data-driven solutions and contribute to impactful projects that drive business success.

Join our innovative team at jobgether as a Senior AI Data Engineer, where you will play a critical role in developing cutting-edge artificial intelligence solutions. This fully remote position allows you to collaborate with top-tier professionals while contributing to transformative projects that utilize data engineering to drive our AI initiatives.

Are you a passionate data engineer with a focus on artificial intelligence? Join our dynamic team at jobgether as a Remote Senior AI Data Engineer. In this role, you will be responsible for designing and implementing advanced data processing systems that drive AI applications. This is a unique opportunity to work on cutting-edge technologies and collaborate with talented professionals from around the globe.

Please submit your resume in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based position rather than a permanent staff role. Role overview This freelance Data Science Engineer position centers on designing and validating challenging data science problems for real-world business scenarios. Work is fully remote and project-based, with a focus on Python and SQL. What you will do Design data science problems that mirror analytical challenges in industries such as telecommunications, finance, government, e-commerce, and healthcare. Create tasks requiring Python programming, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive, with solutions that may require days or weeks to process. Develop scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and generating business insights. Write deterministic problems with reproducible results by using fixed random seeds or avoiding stochastic elements. Base challenges on real business cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and efficiency improvements. Cover the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data scenarios that require scalable computation strategies. Validate all solutions in Python, using standard data science libraries and statistical techniques. Document each problem clearly within a realistic business context and provide accurate, verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications demonstrating real-world problem solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their practical use. Expertise in SQL and database operations for data analysis and manipulation. Familiarity with Generative AI tools and concepts (LLMs, Retrieval-Augmented Generation, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to join Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Location Remote , Iowa, United States

At NiCE, we embrace challenges without limits, striving to push our boundaries continually. We are ambitious innovators, committed to excellence, and we play to win. If you share our passion for excellence, we present an extraordinary career opportunity that will ignite your enthusiasm.What does the role involve?As an AI Data Engineer at NiCE, your primary responsibility will be to enhance the utilization of the NiCE Interaction Analytics (NIA) product suite to validate business use cases through Proofs of Concepts (POCs). This role is essential in supporting our sales efforts by showcasing the value of the NIA product suite. You will collaborate with our sales team to gather unstructured Customer Experience (CX) interactions (such as audio, chats, emails, and social media) from clients and convert them into a format suitable for processing by the NIA product suite.In this capacity, you will serve as a subject matter expert in Interaction Analytics data, understanding the critical data development and the downstream implications of utilizing unstructured interactions. You will work closely with our Customer Engagement Analytics (CEA) Research, Product, and Services teams, integrating your data expertise with cutting-edge technological advancements and client insights to achieve the team's objectives.AI Data Engineers are specialists in the insights derived from unstructured CX interactions. This expertise, combined with technical proficiency, empowers our Business Consulting team to create scalable, out-of-the-box data structures that unveil operational efficiencies and measurable outcomes. Your responsibilities will include developing the foundational data structures while being responsive to evolving client requests for enhancements, translating those needs into effective build and execution plans for each POC.The ideal candidate will possess a curious intellect, strong communication, organizational, analytical, and technical skills. As a self-motivated individual, you will not hesitate to immerse yourself in learning and validating new tools while maintaining a clear focus on our overarching goals for data solutions. As you gain and retain expertise in systems and data, this role will expand to include direct client interactions, feedback collection, and planning.How will you make an impact?Act as the central point for managing the delivery of CX interactions and associated metadata using various data delivery methods.Function as the key developer for the data structures...

Position OverviewThe AI Data Engineer will be instrumental in shaping and enhancing data specifically tailored for our large language models (LLMs) and machine learning applications. This pivotal role encompasses the complete data lifecycle, from collection and cleaning to structuring and optimizing extensive and varied healthcare datasets. The ideal applicant will possess a robust foundation in data engineering, substantial experience with big data technologies, and a deep appreciation for the distinctive challenges associated with healthcare data.Your primary responsibilities will include designing, developing, and maintaining scalable data pipelines that efficiently source, preprocess, and deliver high-quality, large-volume datasets to our machine learning engineers. A comprehensive understanding of data engineering best practices, along with specific insights into the data requirements pertinent to LLM training and refinement, is essential.Key ResponsibilitiesWork closely with data scientists and machine learning engineers to determine data needs for LLM and machine learning model optimization.Create and sustain scalable data pipelines to ingest, process, and store vast and varied healthcare datasets.Establish rigorous data validation and monitoring systems to maintain the integrity, accuracy, and consistency of all training datasets.Execute comprehensive data cleaning, validation, and transformation processes to uphold data quality and integrity.Design and enhance data structures and schemas to facilitate efficient access and utilization by LLMs and machine learning models.Collaborate with the team to identify and source new data streams, ensuring adherence to relevant healthcare regulations (e.g., HIPAA).Monitor data pipeline performance, troubleshoot issues, and implement optimizations to enhance efficiency and reliability.Document data engineering workflows, data models, and data dictionaries.Remain informed about the latest developments in data engineering, big data technologies, and machine learning.

Toloka AI offers project-based freelance roles for experienced Data Science Engineers. This position supports leading technology companies by designing and validating data science challenges that reflect real-world analytics scenarios. The engagement is freelance, not permanent employment. Role overview Freelance Data Science Engineers at Toloka AI create computational challenges for industries such as telecom, finance, government, e-commerce, and healthcare. Projects require designing problems that use Python and SQL, focusing on tasks that cannot be solved manually. Each challenge covers the full data science workflow, from data ingestion and cleaning to modeling and deployment considerations. Engineers use libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Problems must be deterministic, reproducible, and based on realistic business scenarios like customer analytics, risk assessment, fraud detection, forecasting, and operational efficiency. Documentation of each challenge includes business context and a verified solution. Big data processing and scalable computational approaches are often required. Requirements At least 5 years of hands-on data science experience with measurable business outcomes Portfolio of completed projects or publications showing real-world problem-solving Advanced Python skills for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels Strong background in statistical analysis and machine learning algorithms Proficiency in SQL and database operations for data analysis Familiarity with Generative AI tools and concepts (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain Excellent written English skills at C1 level or higher How to apply Submit your CV in English and specify your English proficiency level Complete the qualification process Join a project after qualification Carry out assigned tasks Receive payment upon completion of work Location: Remote , Wisconsin, United States

Join Azumo, a forward-thinking company, as we seek a passionate Data Scientist / Machine Learning Engineer to enhance our data and analytics framework. This is a FULLY REMOTE position, with a preference for candidates based in Latin America. Proficiency in English at a B2/C1 level is required.In this role, you will collaborate with a vibrant team of skilled data scientists specializing in big data analytics and applied AI. If you are eager to design and implement cutting-edge machine learning and deep learning models, especially in the Generative AI domain, this position is tailored for you. We are looking for a professional adept in Python for production-level initiatives, with a strong background in machine learning and deep learning techniques including CNNs and Transformers, and practical experience with PyTorch.As a versatile Machine Learning Engineer / Data Scientist, you will not only conceptualize and prototype innovative ML/DL models but also deploy them end-to-end, seamlessly integrating your solutions into our data architectures and services. You will collaborate closely with data engineers, software developers, and product owners to ensure the development of high-quality, scalable, and maintainable systems.

Join Workwave as a Senior AI/Data Engineer, where your focus will be on developing and enhancing data systems that fuel our innovative decision intelligence products. In this role, you'll blend data engineering with product development and AI/ML capabilities to create systems that support and empower customer-facing data products. We seek a candidate with profound technical skills, a strategic outlook, excellent communication abilities, and a strong sense of ownership regarding how data influences our business. Collaborate across diverse teams to ensure data is positioned as a critical enabler for our products.

Join TechTorch as an AI Data EngineerAt TechTorch, we are on a mission to revolutionize enterprise technology consulting, specifically for private equity-backed organizations. Our high-growth consultancy specializes in delivering AI-driven solutions, accelerators, and transformative data initiatives that yield significant value at scale.Our founders are industry veterans, including ex-Bain consultants, CIOs, and technology executives, who bring profound expertise in technology, transformation, and value creation. Unlike typical startups, we are built for success, focusing on delivering impactful results.About Our TeamOur data and AI teams are at the forefront of designing and building modern data platforms that support analytics, AI agents, and GenAI-enabled workflows. We utilize platforms like Snowflake and AWS to create scalable data products and insights tailored for private equity-backed enterprises.Our teams work in a collaborative global environment, integrating data engineering, analytics, AI, and delivery to provide high-impact and production-grade solutions.Your Role as an AI Data EngineerIn this role, you will develop and implement cutting-edge data pipelines and AI-ready platforms, with a particular focus on Snowflake as the core data warehouse. You will leverage tools like Snowflake Cortex AI and AWS Bedrock to enable advanced analytics and AI-driven automation across enterprise settings.This position merges data engineering and applied AI, ensuring that our data is of the highest quality, well-structured, and readily accessible for analytics, machine learning, and GenAI applications.ResponsibilitiesDesign and maintain scalable data pipelines centered around Snowflake.Develop AI-ready data models and feature layers for analytics and GenAI applications.Utilize Snowflake Cortex AI for various AI functionalities including embedding and classification.Integrate AI workflows with AWS Bedrock and related services.Optimize ELT pipelines using tools like dbt and SQL.

About XBOWAt XBOW, we are revolutionizing the field of cybersecurity by developing the world's first autonomous pentester, driven by advanced AI technology. While traditional pentesting relies on human expertise, our innovative approach leverages AI to scale offensive security in response to the growing demand for robust software protection.The rise of AI is reshaping both cybersecurity defenses and cybercriminal tactics. As more individuals without security training create software, malicious actors utilize AI to enhance their attacks. XBOW counters these threats with AI-powered solutions, empowering security teams to stay ahead of potential breaches.Supported by Sequoia Capital and Altimeter, and comprised of a team that includes the pioneers behind GitHub Copilot and GitHub Advanced Security, XBOW is not merely adapting to the evolving landscape—we are actively defining the future of cybersecurity. Our mission is clear: to thwart bad actors before they can strike, revolutionizing offensive security through AI.We are building a critical solution, and we invite you to join our mission to redefine the realm of autonomous security.Your Role: Data EngineerAs a Data Engineer at XBOW, you will be responsible for constructing and maintaining the foundational data infrastructure that drives analytics throughout the organization. Your role will involve designing pipelines and data models that integrate various product systems, observability tools, and external data sources into a reliable and scalable data platform. Collaborating closely with Site Reliability Engineering (SRE), product, and engineering teams, you will ensure that data is accurately captured, organized, and aligned across services. Additionally, you will maintain observability stacks to support debugging and enhance system reliability. You will also define and uphold data quality standards, aid in the development of Key Performance Indicators (KPIs), and ensure that all data flows comply with security, privacy, and compliance regulations, serving as the backbone for precise analysis and informed decision-making across the business.

About Plume:Plume is a mission-driven organization dedicated to revolutionizing healthcare for the transgender community. We strive to make gender-affirming hormone therapy accessible at the touch of a button across all states in the US.Our work is not just professional; it is deeply personal. We seek passionate teammates who resonate with our mission and are committed to the individuals we serve. For those aligned with our values, Plume offers a unique opportunity to make a significant impact while achieving personal and professional fulfillment. Our work environment is affirming, culturally inclusive, and filled with purpose.About the RoleAs a Senior Data Engineer specializing in Data and Applied AI, you will play a critical role on our Data and AI team. Your responsibilities will include developing, maintaining, and optimizing data pipelines, transformation models, and business intelligence (BI) deliverables. While applied AI (RAG pipelines, MLOps) is a growing focus, your primary duties will revolve around data engineering.The ideal candidate will possess strong engineering skills, capable of executing well-defined architectural directives with precision and ownership. You will also apply your technical judgment to daily implementation decisions.This role demands a hands-on approach: you will write production dbt models, construct Airflow DAGs, deliver clinical dashboards, and contribute to RAG pipelines and MLOps workflows within a regulated healthcare setting. Collaboration with offshore contractors will also be part of your responsibilities, involving reviewing their work and providing constructive feedback to ensure quality and adherence to team standards.The perfect candidate will have a solid understanding of cloud data warehousing, dimensional modeling, Python, and applied AI tools, alongside a collaborative mindset that flourishes in a team environment. This position represents an excellent opportunity for a senior engineer eager to enhance their full-stack data and AI expertise while working alongside experienced technical leaders.