Ai/ml Jobs

This full-time AI Business Process Engineer role is based at Fort Meade, Maryland, supporting Department of Defense mission operations. The position bridges operational workflows and advanced analytics to transform business processes through AI-enabled automation and data-driven decision-making. Key responsibilities include analyzing and documenting current and future state processes, designing AI-integrated workflows, and collaborating with data scientists to operationalize automation solutions. The role requires maintaining compliance with DoD security frameworks and leading change management efforts for new technologies. This opportunity appeals to professionals seeking to contribute to national defense missions within a supportive culture that emphasizes work-life balance and professional growth. The company offers comprehensive benefits including retirement matching, health coverage, and tuition reimbursement. A current Secret clearance is required for this on-site position.

The AI Developer role within Banesco USA's IT Department focuses on architecting and deploying advanced AI solutions using Google Cloud Platform and Gemini Enterprise. Key responsibilities include designing autonomous agents to modernize legacy banking workflows, building predictive models for data-driven decision-making, and ensuring all solutions comply with strict financial regulations. This position appeals to candidates seeking to lead process reinvention in a global financial institution, offering a hybrid work arrangement and a culture that values innovation, continuous professional development, and cross-functional collaboration.

This hybrid AI Project and Delivery Manager role, based in Nashville, focuses on leading the planning and execution of artificial intelligence and machine learning initiatives across the enterprise. The position bridges technical implementation and business impact by overseeing the full project lifecycle, from business case development to deployment. Key responsibilities include managing agile delivery processes, coordinating cross-functional teams of data scientists and engineers, and translating complex technical concepts into clear business value for executives. The role also involves mitigating delivery risks, managing third-party AI vendors, and establishing metrics to track model adoption and ROI. This opportunity appeals to professionals seeking to drive strategic AI transformation within a collaborative environment that values clear communication and operational excellence.

This full-time AI Customer Engineer role within Google Cloud's National Security team focuses on supporting federal public sector customers with cloud-native and generative AI solutions. The position requires an active Top Secret/SCI clearance and involves partnering with sales teams to design architectures, lead proofs of concept, and resolve technical objections for government agencies. Key responsibilities include modernizing legacy infrastructure, demonstrating AI capabilities in air-gapped environments, and guiding customers through digital transformation roadmaps. The role appeals to professionals seeking to apply their expertise in a mission-driven environment where they can shape the future of national security technology. It offers the opportunity to work with cutting-edge AI tools while building long-term relationships with high-impact government clients.

This Staff AI/ML Engineer - Product Owner role at Lockheed Martin Aeronautics focuses on leading the development of trusted artificial intelligence solutions for military and intelligence community customers. The position involves translating technical data insights into high-impact products, managing full product lifecycles from vision to scaling, and navigating complex security and compliance landscapes. Key responsibilities include building strategic roadmaps, partnering with cross-functional engineering and leadership teams, and managing multi-million-dollar product budgets. The role appeals to candidates seeking to apply their expertise in Python, machine learning, and agile methodologies to mission-critical challenges that enhance national security. It offers a hybrid work arrangement with part-time remote flexibility and a culture that emphasizes purposeful innovation, professional growth, and empowering employees to solve complex problems.

This Senior AI Data Engineer role supports mission-critical classified programs by designing secure, scalable data infrastructure for advanced AI and machine learning workloads. Key responsibilities include building secure data pipelines for batch and real-time processing, implementing ontology-driven data models using semantic technologies like RDF and SPARQL, and ensuring rigorous data governance and security compliance. The position appeals to candidates seeking to solve complex challenges within a culture that values purposeful innovation and offers flexible work schedules. The role requires a blend of technical expertise in Python and distributed processing frameworks alongside experience in highly regulated environments, providing an opportunity to mentor junior engineers and contribute to national security initiatives.

This part-time AI/ML engineering role supports a global digital transformation team in developing next-generation enterprise AI solutions. The position involves validating machine learning and LLM outputs for accuracy, assisting with dataset preparation and labeling, and contributing to prompt engineering experiments. The role offers a flexible, fully remote arrangement with approximately 20 hours per week, allowing for independent work alongside senior architects. It is particularly appealing for early-career engineers seeking hands-on experience with real-world model evaluation, production-bound AI systems, and high-visibility initiatives within a collaborative engineering environment.

This role serves as an AI Solutions Architect within the Accounting and Finance department, focusing on designing and governing AI initiatives for a large retail organization. The position involves mapping complex financial data flows to ensure seamless integration between AI applications and core ERP systems while maintaining strict auditability and reconciliation integrity. Key responsibilities include establishing architecture standards for financial AI use cases, documenting end-to-end process flows, and collaborating with finance leadership to translate business requirements into secure, scalable technical solutions. The role offers the appeal of working at the intersection of advanced AI technology and critical financial operations within a collaborative Center of Excellence. The position is based in a hybrid arrangement requiring three days in the Lincolnshire office.

The Manager, Data Science – Agentic AI role leads the design and delivery of autonomous AI solutions within the Content Agentic Platform at LexisNexis Legal & Professional. The position involves managing technical teams to develop advanced agentic technologies, collaborating with cross-functional groups to align AI strategies with business goals, and mentoring junior data scientists on best practices. Key responsibilities include analyzing large datasets, establishing governance frameworks for model development, and translating complex technical concepts for stakeholders. This opportunity appeals to professionals seeking to shape ethical AI in the legal market while driving innovation in large language models and machine learning. The role offers a chance to work with a global team of technologists in a culture that prioritizes responsible AI principles and professional growth.

This senior AI and data science role at Cargill leads the end-to-end development of artificial intelligence models to optimize supply chain decision-making. The position involves extracting and integrating complex data, performing advanced forecasting and optimization, and deploying machine learning solutions into core business workflows. Key responsibilities include ensuring model accuracy, establishing engineering patterns for generative AI, and communicating technical results to diverse stakeholders. The role appeals to candidates seeking to drive measurable business impact within a global organization committed to sustainable food and agricultural solutions. It offers the opportunity to work with expansive data sources while collaborating across cross-functional teams to operationalize data science. The position is based in Minnesota and supports a culture that prioritizes people and continuous learning.

This remote, part-time contract role engages a Certified Public Accountant to support the training and refinement of AI systems focused on accounting, audit, and financial compliance. The position involves collaborating with data scientists to validate financial data, translating complex accounting standards into structured inputs for machine learning, and designing prompts to improve AI accuracy in tax and reporting workflows. The opportunity appeals to professionals seeking to combine deep domain expertise with cutting-edge technology in a flexible environment. It offers a chance to influence next-generation financial solutions while working independently from home.

This senior AI engineering role focuses on designing and operationalizing enterprise-grade AI solutions within a highly regulated environment. The position requires technical leadership to define reference architectures and oversee the end-to-end lifecycle of complex AI systems, including the implementation of generative AI patterns and automated MLOps pipelines. Key responsibilities involve building scalable production services, embedding governance and security controls directly into engineering workflows, and mentoring teams to elevate engineering best practices. The role offers the opportunity to work with advanced technologies like Azure and Databricks while bridging the gap between experimentation and secure, compliant production deployment. The position is based in Toronto or Dallas with an onsite requirement of three to four days per week, appealing to candidates seeking to lead critical AI initiatives in a high-impact, regulated industry.

This fully on-site Senior Technical and Functional Analyst role supports a high-priority federal initiative to reduce SNAP payment errors using AI and automation. The position involves leading stakeholder workshops to define requirements, conducting feasibility analysis for machine learning solutions, and translating business needs into technical specifications for data scientists and engineers. Key responsibilities include developing process maps, analyzing complex data sets, and managing AI pilot programs to drive operational efficiency. The role is appealing for its opportunity to work on a strategic agency-wide project that directly impacts public trust and financial integrity, offering a chance to solve difficult challenges within a culture that values integrity, courage, and excellence.

The Head of Enterprise AI Solutions leads the end-to-end product strategy and delivery of AI initiatives within Bausch + Lomb's global eye health organization. This hands-on leadership role involves defining the AI roadmap, reimagining enterprise workflows with an AI-first mindset, and building high-performing teams of engineers and product practitioners. Key responsibilities include designing and deploying AI agents that execute business workflows, establishing robust governance frameworks for responsible AI in regulated environments, and driving adoption through iterative product development. The position appeals to candidates seeking to combine technical engineering with strategic product ownership in a mission-driven company. It offers the opportunity to shape the future of enterprise AI while working within a collaborative culture that values innovation, accountability, and global impact.

This Senior Data Scientist III role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves leading experimentation with large language models, NLP, and generative AI to create multi-step reasoning workflows and hybrid search strategies. Key responsibilities include defining retrieval methods, evaluating model performance on large-scale legal datasets, and translating technical results into scalable product recommendations while mentoring team members. The opportunity appeals to candidates seeking to apply cutting-edge AI technology to transform legal workflows within a global organization. The role emphasizes technical leadership and collaboration with engineers and legal experts to deliver ethical, high-impact solutions.

This senior engineering role focuses on developing and maintaining Anti-Money Laundering products within a financial technology team. The position involves designing scalable transaction monitoring systems, translating complex regulatory requirements into technical specifications, and integrating data sources to detect financial crimes. Key responsibilities include optimizing alert generation mechanisms, collaborating with data scientists on machine learning models, and ensuring system security and audit readiness. The role appeals to candidates seeking to apply their software engineering skills to high-impact compliance challenges while working in an inclusive culture that values innovation. The work arrangement offers flexibility with options to work remotely near a hub or on-site, including occasional travel for team meetings and training events.

The Senior Managing Director, Data Science & AI role serves as the organization's primary authority on data and artificial intelligence strategy, reporting directly to the Chief Executive Officer. Key responsibilities include leading business development and RFP responses for government and commercial clients, advising executive leadership on AI capability roadmaps, and designing internal training programs to build workforce literacy. The position also involves representing the company at industry conferences to establish thought leadership. This opportunity appeals to candidates seeking to shape the future of AI adoption within a mission-driven organization while offering a hybrid work arrangement that balances remote flexibility with client site engagement.

This senior AI Engineer role focuses on designing and deploying intelligent conversational solutions within a hybrid team based in Charlotte, North Carolina. The position requires utilizing Azure AI Studio, Databricks, and VS Code to build AI agents, manage MLOps pipelines, and integrate services into web applications using Python frameworks. Key responsibilities include developing secure REST endpoints, optimizing model performance, and ensuring adherence to data privacy standards. The role appeals to candidates seeking to work with cutting-edge generative AI technologies and collaborate across cross-functional teams. The hybrid work arrangement requires onsite presence two to three days per week, offering a balance of remote flexibility and in-person collaboration.

The Senior Product Manager role at Axiado leads the product roadmap for the Trusted Control/Compute Unit platform, bridging engineering, customers, and go-to-market strategies. Key responsibilities include defining software and firmware requirements for security and AI/ML capabilities, coordinating cross-functionally with hardware and engineering teams to align system-level decisions, and serving as the primary technical interface for hyperscalers and OEMs. This high-visibility position offers significant leadership potential as the product organization scales, providing opportunities to mentor junior staff and influence industry standards. The role is ideal for a strategic thinker who thrives at the intersection of complex technology and customer needs within a collaborative environment.

This Analyst, Content Specialist role within the Innovation Department at Harrison Street Asset Management focuses on bridging human expertise and artificial intelligence. The position involves capturing and structuring institutional knowledge from investment professionals to train proprietary AI models, transcribing and synthesizing strategic meeting notes, and collaborating with engineering teams to ensure data fidelity. The specialist also supports the development of case studies and narratives that highlight the firm's AI applications. This opportunity appeals to candidates interested in the intersection of finance and emerging technology, offering a chance to work with a global leader in alternative investments. The role is based in Chicago and emphasizes a culture of innovation, intellectual curiosity, and forward-thinking strategies.

The School-Based Clinician role within the COMCARE department provides goal-directed, client-centered therapy to children with serious emotional disturbances and their families across multiple school districts. Key responsibilities include conducting individual and family therapy sessions, performing clinical assessments and risk evaluations, developing collaborative treatment plans, and maintaining accurate medical documentation. The position requires driving to various school locations and working a schedule aligned with the academic calendar, including some evening hours. This opportunity appeals to licensed mental health professionals seeking to make a direct community impact within an educational setting, offering a comprehensive benefits package, professional development resources, and a mission-driven environment focused on improving client well-being.

This Vice President role within the Global Financial Crimes Testing team at Morgan Stanley focuses on strengthening the firm's financial crime prevention framework through rigorous testing and governance. The position involves leading risk-based reviews across Anti-Money Laundering, Sanctions, and Anti-Corruption domains, while evaluating control effectiveness and overseeing the full review lifecycle from planning to reporting. Key responsibilities include mentoring junior staff, collaborating with business units to develop test scopes, and communicating complex findings to senior management. The role offers the appeal of working with a global leader in financial services, contributing to the integrity of the financial system, and engaging with emerging digital asset risks. The position requires four days of in-office attendance at the Baltimore location and provides a collaborative environment with opportunities for professional growth and diverse career advancement.