Top AI & Machine Learning Jobs

Lead strategy and execution for Binti's AI and core platform capabilities. Own roadmap, scale LLM-based tools (transcription, form pre-fill, case chat), partner with engineering and design, prototype rapidly with AI-native tools, conduct user research with social workers, and drive platform health and AI adoption metrics.

Leads enterprise AI architecture and delivers production-grade AI platforms and solutions. Designs agentic systems, RAG applications, LLM integrations, evaluations, monitoring, and lifecycle management. Partners with investment, engineering, risk, security, compliance, and business teams to build scalable, governed AI capabilities. Establishes technical standards, embeds controls for regulated environments, drives adoption, and mentors teams through technical influence.

Own the commercial growth of Civitta’s AI services, including pipeline, revenue, offerings, pricing, proposals, and client engagements. Translate client needs into scoped AI solutions, advise executives on value and feasibility, lead production deployments, and guide technical quality. Build and mentor the AI team while developing thought leadership and market visibility across Civitta’s international consulting network.

Build and train transformer models for plant intelligence, owning data curation, architecture, training strategies, evaluation, and production deployment. Develop robust model lifecycle systems and training and evaluation infrastructure for rapid iteration. Drive machine learning projects end to end, from data collection through production, while working independently on a small team. Apply strong software engineering and scientific skills to maintain practical ML systems.

Conduct open-ended AI research focused on end-to-end training workflows using LanceDB. Design replicable experiments and benchmarks, demonstrate workflows across AI domains, develop content, publish research and models, and collaborate with engineering and product teams. The role requires deep learning expertise, experience training state-of-the-art models, open-source software development, strong prioritization, product awareness, and staying current with AI research.

Designs and builds secure enterprise AI architecture, integrations, agents, retrieval pipelines, and workflows. Owns AI technical delivery, evaluates platforms, establishes reusable architecture standards, and integrates AI with enterprise systems. Ensures deployments protect CUI and comply with NIST SP 800-171, CMMC, DFARS, and organizational security requirements. Partners with governance, security, and compliance teams while monitoring solution performance, cost, and reliability.

Lead NPU subsystem architecture for next-generation SoCs, including architectural exploration, microarchitecture, performance and power modeling, workload analysis, and hardware-software co-design. Develop cycle-accurate models, optimize CNN and LLM workloads, map AI use cases to NPU capabilities, and deliver architecture specifications. Collaborate with hardware, software, driver, OS, and system teams to implement high-performance, low-power solutions.

Design and deploy optimization and machine learning models for allocating scarce parts and resources across competing programs. Responsibilities include formulating MILP and constraint optimization models, forecasting demand and supply risk, building data pipelines, validating outputs, communicating tradeoffs to stakeholders, mentoring junior data scientists, and partnering with software engineers to productionize scalable services.

Develop high-performance, large-scale machine learning services for a programmatic advertising platform. Build and deploy AI models and data-driven algorithms for real-time ad scoring, ranking, and bid optimization. Work with data scientists and cross-functional teams on scalable data analysis, model development, production rollouts, troubleshooting, and continuous optimization using agile methods.

Build and deploy machine learning, predictive marketing, forecasting, and experimentation models. Develop scalable data pipelines, integrate diverse data sources, maintain data integrity, and deliver executive reporting insights. Analyze customer and market trends, support marketing measurement and product positioning, and translate complex technical findings into strategic recommendations. The role also involves mentoring junior staff and collaborating with IT to deploy analytical solutions.