Fractal

Client Partner

• Define and execute Fractal’s workplace, real estate, employee experience, sustainability and administration strategy across all global locations
• Define the global workplace vision and strategy aligned to business growth, culture and hybrid work needs
• Build consistent workplace experiences across geographies while allowing for local country-level nuance
• Drive workplace NPS, service excellence, user satisfaction and continuous improvement across sites
• Own global real estate portfolio strategy, including expansion, consolidation, relocation and optimization decisions
• Lead market evaluations, lease negotiations, landlord relationships and renewal strategies
• Oversee office build-outs, project governance, design standards and capital expenditure programs
• Ensure operational excellence across global offices, including facilities management, engineering, housekeeping, transport, food services, helpdesk and site operations
• Own enterprise EHS framework, safety governance, incident management and preventive action programs
• Lead sustainability initiatives across energy, emissions, waste, green buildings and responsible workplace operations
• Develop global workplace governance, compliance, risk management, business continuity and emergency preparedness frameworks
• Develop and own annual operating and capital budgets for workplace, real estate and administration services
• Manage strategic vendor relationships, contract negotiations, renewals and service-level governance
• Drive digitization and smart workplace solutions through dashboards, automation, workflow tools and analytics
• Lead and develop multidisciplinary teams across facilities, real estate, EHS, sustainability, procurement support and administration
• Provide strategic leadership and oversight for the global corporate travel function
• Develop and govern corporate travel policies and operating procedures
• Manage relationships with travel management companies, airlines, hotels, visa partners and other travel service providers
• Monitor travel expenditure and establish governance mechanisms for travel budgets
• Oversee travel analytics, reporting, duty of care, escalations and process improvement

AI Engineer

• Deploy and operate advanced analytics machine learning models in collaboration with Data Scientists and Data Engineers
• Automate and streamline model development and model operations
• Build and maintain tools for deployment, monitoring, and operations
• Troubleshoot and resolve issues in development, testing, and production environments
• Enable model tracking, experimentation, and automation
• Develop scalable ML pipelines
• Develop MLOps components throughout the machine learning development lifecycle
• Use model repositories such as MLFlow or Kubeflow Model Registry
• Work with machine learning services such as Kubeflow, DataRobot, HopsWorks, Dataiku, or relevant ML E2E PaaS/SaaS
• Build knowledge required to deliver increasingly complex MLOps projects on AWS, Azure, GCP, or on-premises environments
• Contribute to client business development and delivery engagements across multiple domains

AI Engineer, MLOps, 3 to 5 yrs

• Deploy and operate advanced analytics machine learning models collaboratively with Data Scientists and Data Engineers
• Automate and streamline model development and model operations
• Build and maintain tools for deployment, monitoring, and operations
• Troubleshoot and resolve issues in development, testing, and production environments
• Enable model tracking, model experimentation, and model automation
• Develop scalable ML pipelines
• Develop MLOps components using Model Repository options such as MLFlow or Kubeflow Model Registry
• Use machine learning services such as Kubeflow, DataRobot, HopsWorks, Dataiku, or relevant ML E2E PaaS/SaaS
• Work across all phases of the model development lifecycle to build MLOps components
• Build knowledge to deliver increasingly complex MLOps projects on AWS, Azure, GCP, or on-premises
• Participate in client business development and delivery engagements across multiple domains

Senior AI Engineer – MLOps, 5 to 10 years

Data Scientist

• Design and implement advanced solutions utilizing Large Language Models (LLMs)
• Take ownership and create end-to-end solutions
• Conduct research and stay informed about developments in generative AI and LLMs
• Develop and maintain code libraries, tools, and frameworks supporting generative AI development
• Participate in code reviews and maintain high code quality standards
• Engage in the full software development lifecycle, including design, testing, deployment, and maintenance
• Collaborate with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into repositories for core system compatibility

Data Scientist, NLP, GenAI

• Design and implement advanced solutions utilizing Large Language Models (LLMs)
• Take ownership and create end-to-end solutions
• Conduct research and stay informed about developments in generative AI and LLMs
• Develop and maintain code libraries, tools, and frameworks for generative AI development
• Participate in code reviews and maintain high code quality standards
• Engage in the full software development lifecycle, from design and testing through deployment and maintenance
• Collaborate with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into repositories for core system compatibility

Client Partner

AI Engineer, MLOps, 3 to 5 yrs

Senior AI Engineer – MLOps, 5 to 10 years

Data Scientist, NLP, GenAI

Senior Data Scientist – NLP GenAI