Deliver text and NLP capabilities, including text classification, sentiment analysis, and semantics understanding.
Translate specific business problems into ML/AI challenges.
Build proofs-of-concept to experiment with new ideas and demonstrate their potential value.
TheyDo is an AI-powered journey management platform helping the world’s largest enterprises align around their customers. Backed by $50M, their fully remote team represents 30+ nationalities across 27 countries, and TheyDo is united by a customer-led, people-first culture.
Strong computer science or engineering background with 3+ years of coding experience with Python.
Advanced knowledge of AWS services including but not limited to their ML services (AWS SageMaker and AWS Step Functions).
Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
Architect, design, and oversee delivery of end-to-end AI/ML solutions.
Lead cross-functional teams to implement robust ML platforms, pipelines, and applications.
Communicate the business value and ROI of AI/ML solutions to stakeholders.
Jobgether is using an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Take ownership of an ML deployment system spanning multiple production environments and continue to research efficient and effective strategies.
Improve, expand, and streamline our existing deployment pipelines to support faster deployments and automated model retraining.
Collaborate with Data Scientists to understand model requirements and provide guidance to ensure seamless integration with production environments.
Best Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through lending solutions and financial health tools. They foster an inclusive, flexible, and fun workplace with top-tier benefits and growth opportunities.
Develop scalable MLOps pipelines for model training, validation, deployment, and monitoring using AWS services
Implement infrastructure as code and CI/CD workflows to support rapid experimentation and reliable production releases
Collaborate with data scientists to productionize ML models and ensure reproducibility, versioning, and traceability
Experian is a global data and technology company, powering opportunities for people and businesses around the world. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries and corporate headquarters are in Dublin, Ireland.
Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Partner with stakeholders to identify and prioritize opportunities for AI and automation.
Design, develop, and deploy AI and automation systems that drive measurable business impact.
Build and maintain scalable infrastructure, including front-end interfaces and back-end services.
Jobgether uses an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Architect and lead the development of agentic workflows and fine-tuned models for the automation of new and existing security operations processes.
Establish ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models.
Design scalable systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Drive Prompt’s mission to improve healthcare through modern technology including AI
Develop and deploy real-time AI systems involving speech and natural language understanding (e.g., transcription, summarization, classification)
Partner with Product and Engineering to identify high-leverage AI opportunities and deliver measurable outcomes
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. They’ve established themselves as the go-to platform in the space and are rapidly growing their market share by delivering software people love.
Implement AI governance policies in collaboration with NBCU Legal, Privacy, and Cyber teams.
Build monitoring and reporting frameworks for AI models and tools, emphasizing cost, tagging, and AI FinOps principles.
Develop and manage ML/AI Ops pipelines including CI/CD for models using GitHub Actions or Jenkins.
NBCUniversal is a media and entertainment company that creates world-class content distributed across film, television, and streaming. They also have global theme park destinations, consumer products, and experiences. NBCUniversal is a subsidiary of Comcast Corporation, and it strives to attract and develop a talented workforce that reflects our world by championing an inclusive culture.
Architect enterprise-grade AI systems using LLMs and multimodal models.
Design end-to-end pipelines for data ingestion, model training, and deployment.
Define engineering standards for MLOps and data quality.
Jobgether connects job seekers with companies using AI-powered matching. They focus on quick, objective, and fair reviews of applications, but do not mention employee count or company culture.
Design and implement advanced GPU virtualization solutions.
Manage and optimize large-scale GPU and HPC clusters.
Collaborate with data science and engineering teams to optimize AI models.
Jobgether is a company that connects job seekers with potential employers. They use AI-powered matching to ensure applications are reviewed quickly and fairly, and their system identifies top-fitting candidates for hiring companies.
Design, build, and release AI products/features that solve real user problems
Design and implement streaming/batch data pipelines to support training and inference
Continuously monitor and improve the quality and performance of the systems
Insider One is a platform that integrates marketing and customer engagement tools, enabling teams to maximize their impact. With over 1,500 employees across 30+ offices, Insider One values innovation, collaboration, and social responsibility, fostering a fast-paced and agile environment.
Collaborate with cross-functional teams to improve scalable AI systems.
Research, evaluate, and integrate new AI technologies for payment systems.
Build and deploy AI solutions using Python, LLM libraries, AI services, and AWS.
DLocal enables companies to collect payments in 40 emerging market countries, helping global brands increase conversion rates and simplify payment expansion. They have 1000+ teammates from 30+ different nationalities and offer a flexible, remote-first dynamic culture.
Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams
Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution
Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable
Apella is applying computer vision and machine learning to improve the standard of care in surgery. They build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care; they are committed to equal employment opportunity.
Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, empowering customers to give their clients magical moments. They value diverse backgrounds, equal opportunity, and an inclusive culture, with a team that values curiosity and experimentation.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, and corporate headquarters in Dublin, Ireland.
Drive Prompt’s mission to improve healthcare through modern technology including AI
Lead AI projects from ideation → architecture → production → iteration until tools are widely adopted and loved!
Design, build, and deploy end-to-end AI systems across both traditional ML and LLM-based workflows
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. They’ve established themselves as the go-to platform in the space and are rapidly growing their market share by delivering software people love.
Lead data science initiatives by analyzing complex datasets to uncover insights.
Design, develop, and deploy predictive and prescriptive models using machine learning.
Collaborate with business stakeholders to define project objectives and communicate results effectively.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates to share them directly with the hiring company.