Top Remote Machine Learning Jobs in Baton Rouge, LA

Lead the development of predictive modeling and supply chain analytics, focusing on ETA prediction for transportation logistics using advanced analytics and machine learning techniques.

Lead the development and release of AI/ML models, design scalable pipelines, validate outcomes, and communicate results with stakeholders in the cybersecurity domain.

Lead machine learning initiatives at Vetcove, designing, building, and deploying ML models to improve decision-making in veterinary practices. Collaborate with teams to integrate models and establish best practices, while mentoring peers and enhancing real-world outcomes.

Lead research and development of machine learning models, focusing on fine-tuning and optimizing solutions for business challenges. Mentor team members and collaborate with cross-functional teams.

The Senior ML Engineer will develop and optimize ML systems, build training pipelines, fine-tune LLMs, mentor junior staff, and communicate ML insights to non-technical stakeholders.

The role involves architecting, building, and optimizing ML systems, fine-tuning large language models, and mentoring junior team members. Collaboration with cross-functional teams to deliver impactful ML solutions is essential.

As an Optimization Scientist, you will conduct advanced analytics for defense and commercial applications using optimization techniques and lead in a collaborative environment.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

Lead efforts in deploying and optimizing large language models on GPU hardware, optimizing inference pipelines and managing multi-cloud infrastructures.

The Optimization Scientist will design, build, and optimize mathematical models, communicate technical concepts, and collaborate with cross-functional teams to solve complex problems.

The Lead Machine Learning Engineer will develop scalable ML systems for optimizing advertising performance, collaborating with global teams and applying advanced ML techniques.

Develop and implement AI/ML solutions for healthcare claims processing, collaborating with data scientists to enhance system capabilities and automation.