Top Machine Learning Jobs in Kansas City, MO

As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.

As a Senior Lead Software Engineer, you will focus on image pre-processing and machine learning for OCR, create and improve image classification models, develop machine learning models using Vertex AI, optimize algorithms, and mentor teams in ML and software engineering best practices.

As a Threat Analyst, you will analyze malware and customer detection tickets, improve detection efficacy, manage false positives, and collaborate with internal teams. Strong knowledge of malware functionality and programming skills, particularly in Python, are essential for this role.

As a Sr. Machine Learning Engineer at CrowdStrike, you will build scalable ecosystems, innovate with machine learning technology, create backend microservices, and collaborate with teams. You will also develop and maintain data pipelines, mentor other engineers, and ensure high coding quality while addressing customer challenges.

The Senior Machine Learning Engineer at Workiva will design and implement machine learning solutions, focusing on MLOps and software engineering best practices. Responsibilities include developing tools for ML infrastructure, mentoring team members, and delivering high-quality ML features. The role involves debugging, collaborating across teams, and maintaining a robust machine learning environment while ensuring service availability.

The Fraud Engineer at Kalshi will design and build systems for fraud detection and remediation while interfacing with finance, security, and product teams. Responsibilities include staying updated on fraud detection techniques and shipping high-quality, efficient systems.

The Enterprise Account Executive will prospect and close new business across North America, nurture client relationships, manage sales forecasts, and articulate the value of Comet's products. They will work closely with technical teams and help customers during the trial phase, emphasizing the importance of a strong relationship with the Customer Success team.

As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.

The Machine Learning Engineer I develops and implements machine learning models, focusing on transforming prototypes into scalable solutions. Responsibilities include model deployment, data preparation, optimization, collaboration with product teams, and ensuring model performance in production environments.

The Sr. Product Manager for Conversion Visibility will lead a cross-functional team, focusing on conversion attribution, which connects user activity with conversions on advertiser websites. Responsibilities include developing product vision, strategy, requirements, and collaborating across teams like engineering, design, and research to enhance customer impact.

The Business Development Director will drive new business and revenue growth for Fuel iX by maintaining a pipeline of enterprise opportunities, tailoring solutions to customer needs, and engaging with C-suite prospects. This role requires effective communication of the Fuel iX value proposition, exceeding sales goals, and collaborating with internal teams. Knowledge of AI and machine learning trends is essential.

In this role, you will advance Ostro's engagement product by addressing the challenges life sciences brands face in engaging consumers and HCPs. You will shape the product roadmap, conduct user research, and collaborate with stakeholders to translate needs into product requirements.

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.

As an AI Engineer, you'll develop AI features from conception to integration, curate and process data for model training, fine-tune LLMs for specific applications, evaluate model performance, and provide technical leadership on AI practices.

The Program Manager leads the Digital Enablement program, acting as a liaison between Professional Services and development teams. Responsibilities include managing communication strategies, overseeing project lifecycles, advocating for digital initiatives, and establishing performance metrics for program success.

The Data Scientist will design and implement advanced machine learning models for real-time anomaly detection, automate data discovery from a global honeypot network, and enhance product features through AI/ML techniques. Collaboration with cross-functional teams and direct customer engagement will be essential.

The Technical Account Manager will manage client relationships, oversee deliverables, and coordinate with internal teams to ensure client success. Responsibilities include leading project implementation, addressing technical issues, and supporting sales by providing technical enablement. The role requires strong communication and strategic thinking to align technical solutions with business value.