Job Description

Hiring Senior Manager AI/ML - KHI Onsite

About Client Company:

Our Client company is one of the largest diversified family business groups in the Middle East, operating across five key sectors: Foods, Development, Mobility, Infrastructure, and Property Management Founded in 1960 as a trading business & became one of the earliest pillars of industry and commerce in the emerging United Arab Emirates.

Job Responsibilities:

• Lead the development and execution of AGIs AI/ML strategy, aligning it with broader business goals and digital transformation initiatives.
• Collaborate with senior leadership teams to define the AI vision and roadmap, ensuring alignment with organizational priorities and resource planning.
• Drive the enterprise-wide adoption of AI technologies, defining a clear strategy for scaling AI capabilities across different business units.
• Evaluate emerging AI technologies, trends, and market developments, providing strategic insights and recommendations for AI adoption and investments.
• Establish metrics and KPIs to track the success and impact of AI solutions, ensuring that AI initiatives drive measurable business outcomes.
• Oversee the design, development, and deployment of AI-driven solutions, leveraging LLMs, RAG, Agentic AI, and ML models to solve complex business challenges.
• Manage the AI/ML pipeline for data ingestion, model training, deployment, and lifecycle management, ensuring models are scalable and maintainable.
• Ensure the performance and reliability of AI solutions, monitoring key metrics and resolving issues to maintain optimal model outputs.

• Collaborate with cross-functional teams (Data Engineering, IT, Product, and Business Units) to translate business requirements into scalable AI solutions.

• Conduct regular performance audits of deployed AI systems, ensuring that they meet business objectives and technical requirements.
• Ensure seamless integration of AI models with existing enterprise systems like CRM, ERP, and business analytics platforms.

Product & Process Improvement:

• Develop and maintain enterprise AI frameworks, blueprints, and best practices, ensuring scalable, reliable, and compliant AI systems across the organization.
• Lead the continuous improvement of AI models and systems, iterating on model performance, accuracy, and scalability based on business feedback.
• Support the optimization of AI workflows and pipelines, identifying bottlenecks, inefficiencies, and areas for improvement.

• Leverage analytics and feedback loops to evaluate AI system performance, identifying new opportunities for innovation and optimization.

• Drive AI maturity initiatives, improving how AI is integrated into business processes and product development cycles.

• Implement best practices for AI model governance, ensuring transparency, fairness, and ethical use of AI across the organization.

• Contribute to the development of an AI roadmap, ensuring that new technologies and innovations are evaluated and incorporated into the business strategy.

Requirements:

• Bachelors degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.

• Foundational knowledge of machine learning, data engineering, and cloud platforms (AWS, Azure, or GCP).

• Deep understanding of machine learning algorithms, neural networks, LLMs, and advanced AI techniques.

• Expertise in building and scaling AI/ML pipelines, including data ingestion, feature engineering, model training, and deployment.

• Strong competency in Python, ML frameworks (TensorFlow, PyTorch), and data engineering tools.

• Hands-on experience with GenAI, RAG architecture, vector databases, and agentic AI frameworks.

• Strong understanding of MLOps practices—model versioning, CI/CD for ML, monitoring, and governance.

• Familiarity with cloud-native AI services (Azure OpenAI, AWS Sagemaker, GCP Vertex AI).

• Strong analytical, problem-solving, and decision-making skills.Ability to translate complex AI concepts into business language for non-technical stakeholders.

• Excellent leadership, communication, and stakeholder management capabilities.

- Preferred Qualifications:

• Masters degree in Artificial Intelligence, Data Science, Machine Learning, or Advanced Computing.

• Professional certifications such as:AI/ML certifications (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, Azure AI Engineer Associate).

• Cloud architecture certifications related to AI platforms (AWS, Azure, GCP).



Other Details:

• Experience: 5-8 Years of Experience
• Working Days: Monday to Friday
• Work Timings: 9:30am - 6:30pm
• Work Mode: Full Time Onsite in KHI

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