Top Machine Learning Jobs in Tijuana
The Senior Data Scientist will support the DoD's adoption of data and AI by designing and optimizing machine learning models, collaborating with cross-functional teams, managing AI/ML components, and addressing data challenges for defense and intelligence functions.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.
The Sr. Data Architect at McKesson is responsible for designing and implementing data architecture solutions that support business goals. This role involves collaborating with stakeholders, ensuring data integrity, and driving innovation through advanced analytics and cloud technologies. The architect will manage data design deliverables and tackle complex data-related problems with strategic solutions.
The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.
The Data Science Product Portfolio Manager will manage data science product delivery, coordinate multi-project initiatives, and enable technical solutions. Responsibilities include translating business goals into product solutions, managing client expectations, ensuring quality deliverables, and collaborating with technical and business teams to drive AI and machine learning analytics projects.
Lead the design, development, and improvement of machine learning models for 3D computer vision in an innovative photogrammetry platform. Responsibilities include optimizing ML systems, deploying models, and staying updated on advancements in the field. This role requires hands-on leadership and a solid background in machine learning and computer vision.
As a Manager of Data Analytics, you'll lead a team of data analysts, develop analytics frameworks, present findings to stakeholders, and collaborate with various teams to guide data-driven decisions. Responsibilities include mentoring staff, ensuring data privacy compliance, and staying updated with industry developments.
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As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
The Senior Analytics Manager will analyze data to support TV and streaming campaign design, provide insights for client strategy, and manage a small team of analysts, ensuring growth through innovative analytical approaches.
The Sr. Risk Management Analyst at Visa will analyze payment data to identify fraud trends and develop strategies to mitigate these risks. The role involves communicating with clients, optimizing payment acceptance through automation and machine learning, and leveraging internal tools to enhance reporting and analysis.
The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.
The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.
The Manager of Data Science for Pricing Algorithms at CarMax will develop and optimize models that accurately value vehicles based on various market conditions. Responsibilities include analyzing data, leveraging machine learning techniques, conducting controlled experiments, and communicating insights to senior leaders.
The ML Research Scientist will lead research on large language model (LLM) safety, focusing on developing innovative techniques for safe, high-quality, and explainable models. Responsibilities include spearheading research, co-authoring papers, collaborating with teams, and delivering scalable algorithms.
The postdoc will support machine learning research for decision support, contributing to AI and turbulent flow simulations. Responsibilities include designing AI algorithms, implementing uncertainty quantification methods, and deploying these methods on high-performance computing systems to enhance simulations.
As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.
The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.
As an eDiscovery Associate at Bright Labs, you'll apply expertise in forensics, predictive analytics, and machine learning to enhance case strategies and optimize litigation profiles. Key responsibilities include designing eDiscovery workflows, identifying risks, and leveraging advanced data techniques.
Looking for a Senior AI/ML Scientist with experience in creating, optimizing, and deploying ML and NLP solutions. Responsibilities include building and deploying AI solutions for document review, organization, and Q&A processes.
As a Sr. Data Scientist, you will transform data into actionable insights, leveraging advanced machine learning and statistical techniques. Collaborate with teams to design and deploy scalable AI-driven models, solve business challenges, and improve decision-making processes.
As a Senior ML/Research Scientist at NextSense, you will develop state-of-the-art wearable neurotechnologies, conduct innovative research, and apply machine learning and signal processing techniques to analyze biosignals and develop digital biomarkers for neurological conditions. You will collaborate with a team to translate research into practical applications and engage in writing scholarly publications.
The Senior Data Scientist will leverage advanced analytics and machine learning to drive growth and enhance customer experience for Gap Inc's brands. Responsibilities include creating predictive models, guiding audience targeting strategies, and collaborating with various teams to ensure data quality and implement data-driven strategies.
The Principal ML Engineer will build and deploy scalable machine learning models, develop web applications for data insights, and collaborate with cross-functional teams to deliver impactful data-driven solutions. Responsibilities also include providing consulting services for data-driven decision-making.
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