Top Machine Learning Jobs in New Orleans, LA

Leads the creation and global scaling of an AI Data Operations practice. Responsibilities include defining service strategy, developing AI data and evaluation solutions, originating and closing client engagements, establishing quality and governance frameworks, building strategic partnerships, providing thought leadership, and enabling scalable managed-service delivery. The role combines AI expertise, consulting, sales, solution design, commercial leadership, and global operations.

Design and build a production-grade AI memory and retrieval engine for personalized, privacy-preserving LLM experiences. Responsibilities include developing multi-tier storage and hybrid retrieval pipelines, memory extraction and classification, adaptive updates, evaluation frameworks, and reliability safeguards. The role researches advanced memory architectures, supports agentic workflows and tool integrations, collaborates with product management, and owns production operations. Strong software engineering, Python, NLP/ML, vector database, LLM orchestration, privacy, and RAG expertise are required.

Design and build production-grade AI memory systems, including retrieval pipelines, storage tiers, privacy filtering, memory extraction, adaptive updates, hybrid search, and evaluation frameworks. Ship and maintain LLM-powered features, diagnose RAG and prompt failures, implement agentic workflows and tool integrations, and ensure reliable degradation and fallback strategies. Collaborate with product management to define feasible memory-system capabilities while owning production reliability.

Own Avon AI’s US go-to-market motion, including enterprise prospecting, discovery, demos, pilots, negotiations, forecasting, and closing deals with regulated organizations. Build demand through outbound campaigns, events, webinars, partners, and resellers. Develop the sales process, messaging, qualification framework, and playbook while helping recruit the future US sales and marketing team. Collaborate closely with founders and product teams, translating customer and market feedback into product direction.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Develops machine learning models and production data science pipelines to improve subscription conversion, content recommendations, user understanding, workflow automation, and product decisions. Leads analytical projects and experiments, applies statistical methods to web-scale data, and collaborates with data, product, growth, and engineering teams. The role also communicates complex findings to diverse audiences and helps foster a strong data science culture.

Build and scale pipelines that transform conversation data into structured customer memory. Develop LLM extraction and retrieval systems using embeddings, vector search, and ranking; create evaluation benchmarks and regression gates; diagnose production issues through logs, metrics, and traces; and partner with Product and ML teams to improve customer-focused AI systems.

Build and optimize scalable pre-training pipelines for foundation models. Implement distributed training across GPUs, TPUs, and high-performance clusters; translate research experiments into production workflows; develop monitoring and fault-tolerance systems; and benchmark and tune performance across hardware and software stacks.

Own and modernize Apartment List’s B2C lifecycle marketing program across email, push, and SMS. Build segmentation, personalization, partnerships, cross-sell, forecasting, experimentation, and measurement systems. Lead analytics and hands-on journey development, audience logic, troubleshooting, and SQL analysis. Manage and develop a two-person team, oversee the Iterable relationship, and partner with Engineering, Product, Analytics, Design, and senior leadership to drive renter engagement, retention, revenue, and marketplace growth.

Build scalable infrastructure for LLM-based agentic AI supporting autonomous security operations. Responsibilities include designing agent orchestration frameworks, LLM inference and resource-management systems, MCP servers, supporting APIs, and distributed backend services. The role collaborates with machine learning, security research, engineering, and product teams. Required experience includes backend infrastructure, distributed systems, APIs, microservices, cloud deployment, containerization, orchestration, and Python, Java, or Go.

Provides senior functional and technical leadership for NetSuite and connected financial systems. Partners with Finance, Accounting, and technology teams to design processes, configure NetSuite, manage integrations, protect close-cycle continuity, support production incidents, implement controls, coordinate releases, and deliver testing and documentation. The role also leads automation initiatives, vendor engagement, solution lifecycle delivery, and mentorship while supporting accounting, compliance, reporting, and multi-entity financial operations.

Staff Software Engineer responsible for setting technical direction, architecting scalable distributed systems, shipping high-impact features, and building AI-powered tools for a virtual healthcare platform. The role includes mentoring engineers, partnering with product and clinical leadership, translating user needs into technical solutions, and guiding frontend and backend application development in a fast-paced startup environment.

Lead mainframe modernization and migration architecture for large global clients. Conduct discovery workshops, assess legacy environments, develop transformation and re-platforming solutions, present technical business cases, and advise executives. Partner with sales, consulting, operations, product management, and clients to create solutions, influence technology roadmaps, drive stability and innovation, and support complex opportunities. The role requires deep mainframe expertise across legacy languages, databases, operating systems, infrastructure, and modernization technologies.

Leads enterprise evaluation, governance, and implementation planning for emerging mental health therapeutics, including digital therapeutics, AI-enabled tools, neuromodulation, pharmacotherapies, and technology-enabled care models. Develops clinical protocols, workflows, provider training, safety criteria, outcome measurement, and adoption support. Partners with clinical, technology, research, quality, operations, and growth teams; evaluates vendors and evidence; monitors regulatory developments; and advances responsible innovation across the organization.

Leads end-to-end customer onboarding and implementation programs, translating customer goals into project plans, milestones, dependencies, risks, and success metrics. Coordinates Sales, Product, Engineering, Support, Customer Success, trainers, and subject-matter experts without performing hands-on technical implementation or training. Establishes scalable operational frameworks, manages cross-functional accountability, oversees technical readiness, tracks adoption, facilitates stakeholder communications, and ensures customers are prepared for go-live.

Own the full sales cycle across North America, including prospecting, pipeline generation, client meetings, contract negotiation, and closing new business. Build markets across eCommerce, fintech, real-money gaming, and mobile apps while partnering with Customer Success, Marketing, and Product. Represent the company at industry events, monitor mobile advertising trends, and achieve personal and regional revenue targets exceeding $1 million annually.

Lead the roadmap and delivery of an AI-native L1 IT operations agent. Partner with customers, design partners, engineering, and go-to-market teams to ship enterprise-scale capabilities, improve self-service adoption, and build trust through transparent agent experiences and feedback loops. Drive product strategy from discovery through launch in a fast-paced, ambiguous environment.

Build data foundations and end-to-end pipelines, research and implement quantitative pricing, market-making, and risk models for prediction markets, model cross-market dependencies and parlays, develop backtesting/simulation frameworks, monitor model performance and collaborate closely with traders to improve pricing and trading outcomes.

Develop client AI/ML solution architectures, assess technical feasibility, define requirements, estimate work, identify risks, and prepare proposal content. Design deployable inference solutions across FPGA, adaptive SoC, GPU, and AI accelerator targets while evaluating latency, throughput, power, memory, data pipelines, and production requirements. Present solutions, support business development, contribute to product and R&D initiatives, and undertake project work. Travel within North America for up to six weeks annually.

Shape company-wide machine learning strategy across credit, fraud, marketing, and growth. Build and improve consumer credit models, establish model governance and responsible modeling controls, and advance experimentation, causal inference, and business measurement. Provide technical leadership, mentor scientists, evaluate AI-assisted workflows, and partner with Legal, Compliance, Risk, Engineering, Product, and Finance to support reliable, compliant, and impactful financial decision systems.

Design, develop, evaluate, and refine machine learning models using Python. Manage training data with MongoDB, build preprocessing and data pipelines, tune hyperparameters, benchmark model performance, document experiments, and deliver data-driven insights. Collaborate remotely with cross-functional contributors and support deployment or operationalization of models in cloud or enterprise environments.

Lead the architecture and delivery of AI/ML initiatives supporting U.S. Air Force and Army predictive logistics and condition-based maintenance programs. Coordinate engineering teams, translate mission needs into technical solutions, guide tradeoff decisions, mentor technical leaders, and ensure AI/ML systems improve fleet maintenance, aircraft availability, and military readiness. The role requires Databricks expertise, technical leadership, stakeholder communication, and an active Secret clearance.

Lead the design, development, deployment, monitoring, and improvement of interconnected customer lifetime value models covering conversion, retention, premiums, and claim losses. Serve as a hands-on technical leader, guide modeling strategy, evaluate experiments and business impact, partner with engineering and business teams, support production ML systems, establish technical standards, and coach other data scientists.

Provides safe, therapeutic perioperative nursing care using the nursing process. Performs assessment, planning, implementation, and evaluation; scrubs and circulates for complex spine and orthopedic surgeries; supports interdisciplinary teams; and assists with managing care delivered by other nursing staff. Requires California RN licensure, CPR certification, and substantial adult operating room experience, including spine procedures. Must work across UCSF Health locations and function effectively under pressure.

Build and deploy advanced machine learning and agentic AI systems that improve Airbnb’s customer service experience. Responsibilities include developing AI assistants, integrating ML products, optimizing model performance, applying LLM techniques such as fine-tuning and RAG, building multi-agent architectures, and shipping scalable production ML systems. The role collaborates closely with Engineering, Product, and Design teams and contributes to emerging AI initiatives from concept through production.