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Required Head of AI
About The Position
As the Head of AI, you will lead our AI department to drive innovation and success in developing and implementing cutting-edge technologies in DL and computer vision Algorithms. We are dealing with a variety of tasks such as regression, segmentation, classification, and detection while editing millions of images every week for professionals, and holding hundreds of millions of edited images by professionals used as datasets.
Responsibilities
Leading and managing a team of AI developers to deliver high-quality projects and solutions.
Providing technical guidance, expertise, and mentorship to team members to ensure the successful execution of AI initiatives.
Developing Designing and implementing up-to-production novel, robust and efficient deep learning algorithms in the field of computer vision.
Collaborating with cross-functional teams to integrate AI technologies into various products and services.
Overseeing the design, development, and deployment of machine learning and deep learning models and recommending innovative solutions to enhance business performance.

Were seeking a visionary and technically hands-on AI Lead to join Alison.ai and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.

This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.



Key Responsibilities

Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

We are looking for an experienced Business Applications Manager to lead the team responsible for the companys business application systems. This role will manage global projects, maintain vendor relationships, ensure compliance, and drive innovation to optimize business operations. The ideal candidate will work closely with senior leadership, business units and IT teams to streamline processes and enhance global efficiency.
Responsibilities
What will you be doing:
Lead and manage the business applications team, ensuring the smooth implementation, support, and performance of enterprise applications.
Lead business application and AI projects to ensure they meet company goals, stay on schedule, within budget, and are delivered successfully.
Manage vendor relationships, software licenses, ensuring optimal cost and service delivery.
Oversee the implementation, maintenance, and upgrades of enterprise applications such as Agile, HCM, Atlassian suite, DocuSign, MS suite.
Establish IT governance frameworks, ensure compliance with regulations (e.g., GDPR, PII), and manage IT risks related to business applications.
Develop strategies and execute plans for improving or leveraging existing systems.
Lead digital transformation initiatives, leveraging AI and other technologies to improve operational efficiency and reduce costs.
Collaborate with business units to understand their needs and enhance business application functionality to support their goals.
Provide regular updates to senior leadership on project progress, budget, compliance, and performance metrics.
Ensure alignment of IT strategies and project and policies across regions, driving consistency and supporting global business objectives.

We are looking for a Champion and operationalize AI‑assisted development across our global R&D organization. Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.
How will you make an impact?
Upskill engineers  run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC
Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
Proactively suggest tools and processes to improve developer experience and productivity.

We are seeking an experienced AI Executive with deep expertise in Generative AI and a strong background in technology consulting to join our Technology Consulting Department. This role involves leading strategic AI initiatives for top-tier clients, developing innovative AI-driven solutions, and driving digital transformation through cutting-edge technologies.
Key Responsibilities:
Lead end-to-end Generative AI projects from strategy and design to implementation and delivery.
Advise clients across industries on integrating AI technologies into their business processes.
Design and develop tailored AI solutions using advanced models (e.g., LLMs, diffusion models).
Analyze market trends and bring forward innovative AI opportunities for clients and internal teams.
Collaborate with cross-functional teams including Data, Engineering, and Business Consulting.

Required AI Senior Delivery Manager
About the job
As an AI Senior Delivery Manager, you will lead the orchestration of our most complex and strategic AI transformation initiatives, managing a team of project managers while ensuring flawless execution of cutting-edge AI solutions across enterprise clients. You'll be the strategic bridge between technical innovation and business outcomes, driving AI program success at unprecedented scale while building and mentoring the next generation of AI delivery leaders.
Key Responsibilities:
Lead end-to-end delivery of large-scale, cross-functional technology projects.
Manage client relationships and act as the primary point of contact for project delivery.
Coordinate between internal consulting teams, external vendors, and client stakeholders.
Oversee project planning, execution, quality assurance, risk management, and reporting.
Ensure projects meet defined KPIs, SLAs, and business objectives.
Apply appropriate project management methodologies (Agile / Waterfall / Hybrid) based on project needs.
Support business development efforts, including proposal writing and client presentations.

We are looking for a passionate and experienced Hands-On Tech Lead to join our Technology Consulting department and lead the design and implementation of cutting-edge Generative AI solutions. This role is ideal for someone who thrives at the intersection of technology leadership and hands-on development, and who is excited to shape the future of AI-driven innovation for top-tier clients.
Key Responsibilities:
Lead the technical design, architecture, and implementation of Generative AI solutions (e.g., LLMs, multimodal models, RAG pipelines, fine-tuning, prompt engineering).
Collaborate with cross-functional teams including data scientists, software engineers, consultants, and business stakeholders.
Stay up to date with the latest advancements in GenAI and translate them into practical, scalable solutions.
Guide and mentor junior developers and AI engineers.
Work closely with clients to understand business needs and translate them into technical requirements.
Ensure high-quality delivery, performance, and security of AI applications.

Required GenAI & Data Project Manager
About the job
As an AI & Data Project Manager in our Technology Consulting department, you will lead the development and continuous improvement of AI and Generative AI-based solutions. You will collaborate closely with development teams, infrastructure specialists, and clients to ensure the successful delivery and ongoing optimization of AI products tailored to client needs.
The ideal candidate brings a strong background in AI technologies, proven experience in project or product management, and excellent communication and leadership skills.
Responsibilities:
Manage the full project lifecyclefrom ideation to deploymentensuring timely delivery and high-quality AI-driven solutions.
Develop and implement tailored data strategies that support client objectives and drive value.
Collaborate with development and infrastructure teams to ensure streamlined development processes and effective cross-functional communication.
Ensure intuitive and user-friendly experiences aligned with the needs of target users.
System specification: Analyze client needs, define system requirements, and write detailed specification documents.
Clarify scope, set priorities, plan activities and deliverables, and ensure high-quality execution on time, within scope, and within budget for data projects.

Required GenAI Team Leader
As an NLP team lead, you will solve hard business problems using SOTA NLP models, in the realm of text generation, text classification, question answering, information retrieval and more. You will pretrain, fine-tune and deliver to production large language models (LLMs), in multiple languages, and use your knowledge and creativity to answer business problems using real data. Youll also work with the Product team to shape our product roadmap, and contribute to brainstorming sessions on NLP projects.
What youll do:
Lead a team of exceptional NLP researchers.
Teach, mentor, and counsel the team, supporting their growth and professional development
Initiate, plan, prioritize, and manage ML projects, solving a real business problem for the largest sports organizations.
Translate business challenges into ML projects, brainstorm to identify optimal approaches, and conduct hands-on research to integrate data, product insights, and algorithms, generating business value.
Supervise production deployment, monitoring, and continuous learning of NLP models to ensure their optimal performance and adaptability.
Continuously evolve and help others evolve professionally, through joint work and mentoring, contributing to weekly brainstorming sessions, and staying up-to-date with the latest ML developments
Collaborate closely with Product and BizDev teams to align NLP initiatives with business objectives and product strategies.