We are seeking a motivated Machine Learning Engineer (Mid / Senior level) to enhance their skills at a SaaS company, collaborating cross-functionally across the business, reporting to the ML Team Lead to operationalize ML/AI deployment, from idea generation and technical design to software development.
As a Senior Software Engineer on the Knowledge Enrichment Team, you will evolve BenchSci’s Knowledge Graph, integrate public life science data, and operationalize production-grade data pipelines. Key responsibilities include scaling data pipelines, managing biological data sources, and collaborating with ML and data engineers to solve complex data mining challenges.
As a Senior Machine Learning Platform Engineer, you will assist in the design and development of the infrastructure responsible for operationalizing Machine Learning at Dave, partnering directly with product managers, engineers, data scientists, marketing and other business partners across the business to continuously improve the infrastructure.
Hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. The role involves building shippable software, maintaining engineering blocks, supporting the current stack, working on R&D projects, and ensuring timely deliveries of required quality.
We are seeking an experienced and highly skilled Senior Data Engineer to play a pivotal role in the evolution of our analytics platform, augmenting our in-house platform with cutting-edge data engineering technologies on Google Cloud Platform (GCP) to achieve new levels of scale and performance, complemented by Looker for best-in-class visualization and analysis.
As a Senior Machine Learning Consultant, you will be leading a high-visibility project at Trility Consulting, impacting the client's bottom line by architecting and building a machine learning solution from the ground up on the Microsoft Fabric platform. You will analyze millions of customer leads to build a propensity model that identifies high-intent buyers.
You will build and embed intelligence into the products that significantly reduce fraud and improve FinCrime efforts. You will work closely with the FinCrime team to solve business challenges, design data products, and leverage machine learning to detect and mitigate fraud, driving meaningful impact for the business.
As a Data Engineer on the Insights team, you’ll be central to designing and building the data pipelines, services, and infrastructure that power our product’s AI-driven insights. You will work at the intersection of product engineering, analytics, and AI. This role is ideal for someone who loves working with structured and unstructured data.
The Senior Data Engineering Consultant will be responsible for requirements gathering, solutioning, designing and building modern data platforms to support data-driven decision making. The Engineer will execute technical implementation of data engineering and visualization projects, and will be a hands-on role.
Contribute to building a robust model library and pricing platform that drives measurable business impact and ensures long-term scalability. You will translate business needs into machine learning solutions, partner with engineering and product teams to deploy data science services. Your role includes monitoring model performance, identifying business opportunities, and supporting junior team members.