Develop and manage AI/ML product roadmaps, leading cross-functional teams to implement models and ensure seamless integration into production.
Collaborate with stakeholders to define AI/ML data requirements, oversee data collection and transformation, and monitor model performance using appropriate metrics.
Integrate LLMs for NLP tasks, implement Agile methodologies, and provide mentorship to junior team members.
Lead complex modeling and analytical initiatives as a technical authority.
Drive modeling strategy and raise technical standards across the organization.
Leverage deep learning and LLMs with traditional methods to deliver real impact.
Gradient AI is a decision-intelligence platform for the insurance industry, using data to reveal risk and improve performance. Backed by $56M in Series C funding, it's a fast-scaling startup with a fun, team-oriented culture.
Lead the design and implementation of data science initiatives, defining methodologies and best practices.
Develop, evaluate, and optimize machine learning models to solve complex business problems.
Own the complete data science lifecycle from data exploration to deployment and monitoring.
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end, working with international clients and building long-term partnerships through technical excellence.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Design, develop, and optimize NLP models for text processing and information extraction.
Build robust data pipelines with DBT, Snowflake, and Airflow to support ML workflows.
Deploy and monitor scalable AI solutions that enhance decision-making and user experience.
Miratech is a global IT services and consulting company that partners with enterprises and startups to drive digital transformation. With nearly 1,000 full-time professionals and a 99% project success rate, the company maintains a values-driven culture of relentless performance and over 25% annual growth.
Lead a team building data platforms and ML operations infrastructure.
Own reliability, scalability, and continuous improvement of analytics systems.
Collaborate with data scientists and leaders to deliver impactful ML solutions.
The company builds advanced data and machine learning platforms that power analytics and intelligent products. Its culture emphasizes innovation, reliability, and inclusivity, supporting professional growth and technical excellence.
Develop and implement data analysis techniques and ML models using customer data.
Create scalable data pipelines for feature extraction on cloud services.
Collaborate with engineering teams to productionize work and automate processes.
RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company values innovation, authenticity, and integrity.
Lead product vision, strategy, and roadmap to deliver high-impact solutions aligning with market needs.
Apply deep AI and LLM knowledge to inform product decisions and drive agentic development workflows.
Perform competitive analysis and facilitate cross-functional partnerships across Sales, Marketing, and Engineering.
M3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, and pharmaceuticals. Since 2000, we have grown remarkably and pride ourselves on a dynamic and innovative work environment.
Develop and communicate a clear product vision and strategy for Conversational AI, ensuring alignment with company goals and advancements.
Prioritize features and create a detailed roadmap based on customer feedback, market research, and business objectives, focusing on AI accuracy and scalability.
Collaborate cross-functionally with Engineering, Data Science, Sales, and Customer Success to drive execution and deliver innovative AI solutions.
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. A publicly traded company (NASDAQ: LPSN), it powers nearly a billion conversational interactions monthly and was named the #1 Most Innovative AI Company by Fast Company.
Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production.
Design, implement, and continuously improve LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, embedding strategies, and vector store integration.
Conduct exploratory data analysis and design data visualizations to uncover trends and communicate key metrics to both technical and non-technical stakeholders.
Great Gray Group is a leading independent provider of trustee and administrative services for Collective Investment Trusts, with over $370 billion in assets under management. They are a high-growth organization backed by Madison Dearborn Partners, fostering a culture of collaboration, innovation, and continuous improvement.
Lead a multidisciplinary team of ML engineers, data scientists, and analysts to improve identification accuracy.
Own the team's technical roadmap and drive measurable model quality outcomes at massive scale.
Collaborate with engineering, product, and customer teams to translate business needs into technical priorities.
This company provides a critical identification platform that leverages machine learning and data science for fraud prevention. It operates with a globally distributed team and values diverse perspectives and technical excellence.
Design, build, and productionize ML models for ETA prediction using regression, classification, and time-series forecasting.
Develop NLP/LLM-based extraction pipelines for message-based status updates, including text extraction and entity recognition.
Own models end-to-end from data pipeline to deployment and monitoring, turning noisy logistics data into scalable solutions.
FourKites is the leader in AI-driven supply chain transformation, providing real-time visibility and an Intelligent Control Tower that breaks down enterprise silos. The company processes over 3.2 million supply chain events daily, serving 1,600-plus global brands, and fosters a collaborative culture with a focus on diversity and inclusion.
Design, build, deploy, and maintain scalable machine learning and AI systems in GCP to solve complex business problems and create new value.
Partner across teams to understand problem definitions, data needs, and solution approaches, and support model deployment with MLOps practices.
Take ownership of production issues, perform root cause analysis, and improve documentation and quality assurance processes for ML systems.
General Mills makes food the world loves, operating across 100+ markets. As a large company, it prioritizes being a force for good and fosters a culture of bold thinking and big hearts, where employees challenge each other and grow together.
Design and deliver production-ready AI solutions including machine learning, generative AI, and LLM applications.
Translate complex business needs into scalable technical architectures and implementation plans.
Guide clients and cross-functional teams through discovery, architecture, and adoption of AI systems.
This company partners with organizations to deliver AI and data transformation solutions. It fosters a collaborative, remote-first culture focused on innovation, inclusivity, and meaningful impact.
Design and build the AI component of a hybrid rule-based and ML system for SAP catalog mapping.
Author the AI/ML Architecture Design Document and recommend accuracy thresholds.
Implement the 4-tier catalog code mapping engine, anomaly detection, and a feedback loop for operator corrections.
South Geeks engages top-performing Software Engineers, Security Experts, and Data Analysts from Latin America to join clients' teams worldwide. We pride ourselves on a people-centered culture that powers innovation, collaboration, and excellence.
Drive innovation across the machine learning ecosystem and architect advanced ML solutions.
Mentor junior ML engineers and lead complex ML initiatives at scale.
Own models in production including deployment, monitoring, drift detection, and retraining.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers grow their businesses worldwide.
Lead statistical and machine learning solutions for high-impact business decisions.
Own complex problems end-to-end, from framing to production deployment.
Partner with product, engineering, and business leaders to shape strategy.
Super.com is a fast-paced, high-growth tech company that helps maximize lives for both customers and employees. They prioritize learning, impact, and career progression for their team.
Own the vision, strategy, and roadmap for the product that turns complex clinical data into trusted evidence.
Partner with cross-functional teams including annotators, AI engineers, and customer success to deliver scalable, research-grade outputs.
Work in an AI-native, prototype-first way using LLMs and modern tools to iterate quickly and measure accuracy.
Verantos is the global leader in high-validity real-world evidence (RWE) for life sciences, integrating AI and clinical data to generate research-grade evidence at scale. They serve top biopharma companies and offer a flexible, innovative culture with a focus on cutting-edge technology and healthcare research.
Define and execute a product roadmap for Search, aligned with Yelp's business objectives and industry trends.
Lead development of Search products from conception to launch, leveraging data-driven insights and algorithm optimization.
Collaborate with engineering, design, and data science to deliver exceptional products and drive consumer engagement.
Yelp is the ultimate guide to local living, connecting people with great businesses in their neighborhoods. With hundreds of millions of users and a vast business ecosystem, Yelp fosters a culture of innovation and collaboration.
Build the data and model layer for an AI-enabled decision-support system, including ingestion, record matching, scoring, and generation.
Implement probabilistic matching, calibration, and retrieval-augmented generation in a controlled environment.
Ensure traceability, audit trails, and documentation for all data and model outputs.
DEFCON AI leverages AI, mathematical optimization, and data analytics for resilient optimization of complex systems. The team operates in a fully remote, results-based environment with a focus on innovation and collaboration.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.