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As a Senior Leader at Axtria, you will lead transformational projects in cloud data management and analytics for life sciences clients, ensuring delivery excellence and strategic client engagement while fostering client relationships and driving innovation in technologies such as AI and cloud platforms.
The Research Scientist will conduct research in autonomous systems and closed-loop simulation, developing scalable autonomy stacks and industry-leading models. They will collaborate with fellow researchers and engineers to publish high-quality research and deploy algorithms that enhance customer autonomy programs.
The Data Scientist Principle will work on building advanced AI platforms to enhance developer productivity by leveraging machine learning and deep learning techniques. Responsibilities include optimizing AI models, improving code quality, automating development workflows, and designing user-friendly interfaces to support developers.
phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.
Join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge technology. Take ownership over model training, validation, and deployment using various data types. Mentor junior colleagues and present model performance to clients.
The Senior Machine Learning Engineer will extend the AI as a Service platform for Cloud and manage the development of new solutions while optimizing existing codebases. Responsibilities include enhancing production systems, working with cloud technologies, and utilizing AI/ML frameworks.
The ML Data Science Engineer will focus on responsible AI, ensuring the development and deployment of foundation and predictive models align with ethical guidelines. Responsibilities include collaborating with teams to mitigate bias, building datasets, implementing models using various tools, developing metrics, and leading discussions on AI investments for fairness and safety.
As a Full Stack Data Scientist at Cardinal Health's AI CoE, you will develop data-driven solutions, build user-friendly applications using modern front-end frameworks, and deploy robust machine learning and generative AI models. Responsibilities include designing APIs, constructing ML pipelines, creating data visualizations, and collaborating with teams to ensure successful project delivery.
Featured Jobs
Lead AI/ML Scientist role at Datasite, leading AI/ML projects from conception to implementation, optimizing AI models, and collaborating with cross-functional teams to enhance product offerings and customer satisfaction.
The Senior Sales Analyst will lead analyses that drive strategic decision making for the commercial organization, focusing on financial forecasting, building models, and creating dashboards to present actionable insights. Responsibilities include supporting the development of metrics, mentoring other analysts, and designing new processes for team efficiency.
The Senior Machine Learning Engineer will develop and implement scalable machine learning models, focusing on ranking and recommendation systems. Responsibilities include conducting A/B tests, analyzing data, collaborating cross-functionally, and building reusable libraries while maintaining thorough documentation.
Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
As a Senior Manager of Product Data Science at Databricks, you will lead a team of data scientists, drive the development of data and AI products, collaborate with product managers, define product metrics, and establish measurement methodologies to enhance customer experience and product growth.
As a GenAI Research Scientist at Databricks, you will advance AI technologies by innovating techniques that enhance large-scale LLMs. You will work collaboratively to develop new methods to improve model capabilities and communicate findings, all while ensuring user success and democratizing AI access.
The Staff ML Engineer at FanDuel will lead the development of scalable ML and GenAI/LLM models while collaborating with engineering teams and data scientists. Responsibilities include building serving architectures, developing platform features, managing data security and governance, and mentoring junior engineers. This role emphasizes technical leadership and requires expertise in various programming languages and ML frameworks.
As a Staff Data Scientist, you will lead the development of models for Airbnb's search and personalization strategy, working closely with engineering and product teams. You will design and evaluate inference frameworks, integrate marketplace dynamics into models, and ensure the quality and alignment of algorithms with product goals. Your role also involves effective communication of complex ideas to diverse audiences.
Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
The Senior Machine Learning Engineer will design and implement machine learning solutions to enhance merchant data, ensuring data quality and discovering insights. The role requires expertise in machine learning, big data ecosystems, MLOps, and automation frameworks.
Join Talroo as a Principal Machine Learning Scientist to scale and expand high-value business initiatives using cutting-edge AI technologies and A/B testing. Work with a top-tier team to improve job recommendation processes and provide real, measurable revenue impact. Ideal candidate will have a passion for technology and solid background in computer science.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
The Senior Machine Learning Engineer will develop advanced algorithms for humanoid robotics using imitation learning and reinforcement learning. Responsibilities include designing machine learning models, optimizing training processes, and contributing to team collaborations to push the boundaries of robotics technology.
The Senior Software Engineer will build systems and tools to enable data scientists in creating machine learning applications, improve frameworks for scalable pipeline development, collaborate with product owners, and mentor junior team members within the C3 AI Platform engineering team.
The Senior Machine Learning Engineer will design and develop NLP applications to enhance data analytics software. Responsibilities include creating annotated datasets, implementing cutting-edge technology, developing algorithms, and collaborating with various teams to optimize model performance and efficiency.
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