Supports the US Country Manager and Finance team with accounting, analysis and reporting, and builds AI and automation solutions for finance.
Locations (6)
Wixom, Michigan, United States
Lewisburg, Tennessee, United States
Windsor, Ontario, Canada
Tawas City, Michigan, United States
Gadsden, Alabama, United States
San Jose, California, United States
Compensation
Pay Range: $18-$20/hour
Responsibilities
Assist with month-end financial reports and monthly operational reports
Support accounts receivable, accounts payable, bank statement and balance sheet reconciliation
Assist with audits, expense report auditing and customer pricing error reviews
Support the payment processing team with data entry and credit checks
Prepare weekly and monthly management reports and dashboards for the US Country Manager
Requirements
Current or recent enrollment in a graduate or undergraduate degree program in Finance, Accounting, Business, Information Technology, Information Systems, Computer Science, Data Science or a related field
Master's degree (e.g., MBA, MS in Finance or Accounting) is preferred
An AI-focused technologist focused on the Product Cost Process using AI, GenAI, agentic solutions, and Data analytics to enhance product cost modeling, forecasting, and decision-making.
Responsibilities
Design and implement IT solutions and proof-of-concept projects, leveraging Stellantis Platforms
Develop “use cases” tailored to the Product cost needs (Python, ML, LLMs, RAG) with the support of suppliers
Create data pipelines / transformations
Collaborate with backend, DevOps, and product teams for scalable deployment
Prototype and test new technologies in AI and Agentic AI
Desarrollar y validar soluciones de inteligencia artificial que procesan imágenes en publicaciones de vendedores
Proponer y ejecutar pruebas de concepto para probar diferentes hipótesis y comparar modelos de inteligencia artificial con soluciones clásicas
Preparar y clasificar conjuntos de datos, medir el rendimiento de los modelos y documentar los hallazgos en informes y presentaciones
Evaluar características ya liberadas y soluciones existentes, probar construcciones desarrolladas por otras personas y realizar ajustes para mejorar su funcionamiento
Analizar métricas, variables y muestras mediante técnicas estadísticas para cuestionar las respuestas de la inteligencia artificial, validar numéricamente su calidad y sustentar recomendaciones con datos
The role focuses on the design, creation, and support of AI agents, assisting end users in building and configuring agents using modern AI frameworks and tools.
Responsibilities
Design and implement AI agents
Integrate AI agents with APIs and enterprise systems
Troubleshoot issues across different layers of the agent architecture
Assist end users in building and configuring agents
Collaborate with users to successfully build and deploy AI agents
Senior scientific leader responsible for safety science strategy, pharmacovigilance, risk management, and AI-enabled safety workflows for cell therapy assets.
Compensation
The annual base pay for this position ranges from $203K to $305K. Our positions offer eligibility for multiple incentives an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Lead safety surveillance, signal detection, validation, evaluation and management for assigned cell therapy assets
Set the safety science strategy for multiple, complex or high-priority assets and translate emerging data into clear recommendations
Lead proactive pharmacovigilance and risk-management planning, including Global Risk Management Plans, REMS, risk-minimization measures and benefit-risk assessments
Provide strategic leadership and oversight for aggregate reports and safety deliverables, including DSURs, PBRERs/PSURs, PADERs, RMPs, REMS and ad hoc analyses
Lead safety content and strategy for protocols, Investigator Brochures, Reference Safety Information, informed consent forms, clinical study reports, Data Monitoring Committee materials and core data sheets
Requirements
Bachelor’s degree in life sciences, pharmacy, nursing or a related discipline
Advanced degree in immunology, autoimmune disease, pharmacology, epidemiology or a related discipline
Lead safety science activities for cell therapy assets within the Global Patient Safety Unit, integrating data, managing risk, and supporting regulatory submissions.
Compensation
The annual base pay for this position ranges from $132K to $199K. Our positions offer eligibility for multiple incentives an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Conduct and coordinate safety surveillance, signal detection, validation, evaluation and management for assigned cell therapy assets
Develop MedDRA search strategies
Translate emerging safety data into clear analyses and recommendations
Lead components of pharmacovigilance and risk‑management planning
Author and project‑manage aggregate reports and safety deliverables
Requirements
Bachelor’s degree in life sciences, pharmacy, nursing or a related discipline
Advanced degree in immunology, autoimmune disease, pharmacology or a related discipline
Develop and maintain mobile native applications for iOS and Android, integrating with API microservices and supporting services, while advancing modern mobile engineering practices and AI-powered capabilities within HSBC’s Digital Foundations technology stack.
Responsibilities
Develop and maintain mobile native applications for iOS and Android and integrate them with API microservices and supporting services
Deliver work across the full delivery and run lifecycle including software development, testing and operational support
Advance modern software development practices across the mobile engineering community
Grow technical expertise across the engineering community through day-to-day coaching and knowledge sharing
Shape product and project strategy with technical leaders and product owners including code standards, roadmap definition and requirements gathering
Transform messy data into useful models and decision‑making tools, owning projects from scoping to deployment and monitoring.
Compensation
The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.
Responsibilities
Own outcomes: break projects into milestones, estimate realistically, meet deadlines, and surface risks early with options.
Build and deploy models: develop ML models (including LLM‑enabled solutions when appropriate), design features, evaluate rigorously, and contribute to production‑grade pipelines.
Work the full data lifecycle: wrangle and clean data, implement data quality checks, write maintainable Python/SQL, add tests, and document decisions.
Collaborate cross‑functionally: translate business questions into analysis, present trade‑offs clearly, and iterate with stakeholders and tech partners.
Deploy to production: partner with data engineers to ship to production (APIs, batch jobs, monitoring) and create feedback loops for continuous improvement.
Requirements
Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
Lead R&D work in artificial intelligence for formal verification within the VITAMIN-C project.
Compensation
Indicative remuneration range (excluding the variable annual bonus): €33,614 – €43,000 gross per annum, depending on profile and experience, as defined by our legal framework.
Responsibilities
Carry out R&D work in artificial intelligence for formal verification
Contribute to the research profile of Télécom Paris and Institut Mines-Télécom
Requirements
Bac+5 or equivalent
Bac+4 with at least four years’ professional experience
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