Solution Lead - Artificial Intelligence / Machine Learning

ACENET CONSULTING PRIVATE LIMITED; Dubai; On-site; AED 300,000 - 400,000; Full time

Job summary

A forward-thinking technology consultancy is looking for an AI Solutions Lead in Dubai. This role involves leading the design and delivery of complex AI and ML solutions and translating business requirements into scalable architectures. The ideal candidate should have over 10 years of experience in software or data architecture, proficiency in AI/ML frameworks, and strong leadership skills. This position offers competitive compensation and opportunities for professional development within a supportive work environment.

Benefits

Continuous investment in employee growth

Competitive compensation and benefits

Healthy work-life balance

Opportunities for international assignments

Responsibilities

• Lead the architecture, design, and end-to-end delivery of AI solutions.
• Define and implement AI strategy aligned with business goals.
• Translate business needs into scalable AI architectures.
• Oversee deployment of AI/ML models in production.
• Guide teams in AI best practices and technologies.
• Drive MLOps and AI lifecycle automation.
• Integrate AI solutions with enterprise platforms.
• Ensure responsible AI practices and compliance.
• Collaborate with stakeholders for project prioritization.
• Mentor and lead technical teams.

Skills

Machine learning

Deep learning

NLP

Computer vision

Generative AI

MLOps

Cloud-native architecture

CI/CD pipelines

Docker

Kubernetes

Education

10+ years in software or data architecture roles

Tools

TensorFlow

PyTorch

Scikit-learn

Hugging Face

OpenAI APIs

MLflow

Kubeflow

Airflow

SageMaker Pipelines

Vertex AI Pipelines

Job description

Job Summary

We are looking for an AI Solutions Lead to support our ongoing critical project activities. The ideal candidate is responsible for lead the architecture, design, and end-to-end delivery of complex AI / ML solutions and translate business requirements into scalable and secure AI system architectures.

Key Responsibilities

• Lead the architecture, design, and end-to-end delivery of complex AI / ML solutions.
• Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.
• Translate business requirements into scalable and secure AI system architectures.
• Oversee the development and deployment of AI / ML models in production environments.
• Guide data scientists, engineers, and developers in adopting AI best practices and technologies.
• Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.
• Design AI solutions integrated with enterprise platforms (Microsoft, Salesforce, ERP, CRM, data lakes, APIs).
• Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance.
• Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics.
• Mentor and lead technical teams; influence architectural decisions across business units.

Role Requirements and Qualifications

1. AI / ML Expertise

• Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.
• Hands‑on experience with frameworks like TensorFlow, PyTorch, Scikit‑learn, Hugging Face, OpenAI APIs.

2. Architecture & System Design

• Proven experience in designing scalable and secure cloud‑native AI solutions.
• Deep understanding of microservices, APIs, event‑driven architectures, and real‑time inference systems.

3. MLOps & DevOps

• Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.
• Knowledge of CI / CD pipelines, containerization (Docker), and orchestration (Kubernetes).

4. Data & Integration

• Familiarity with data engineering tools (Spark, Kafka), data lakehouses (Delta Lake, Snowflake), and ETL pipelines.
• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.
• Strong leadership experience managing multidisciplinary AI / ML teams.
• Ability to drive architecture governance, code quality, and technical standards.
• Excellent communication and presentation skills to influence technical and non‑technical stakeholders.
• Strategic thinker with a passion for AI innovation and enterprise transformation.

Preferred Experience

• 10+ years of experience in software or data architecture roles, with 45 years focused on AI / ML.
• Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail.
• Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).

Preferred Certifications

• AWS Certified Machine Learning Specialty
• Microsoft Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• TOGAF or other architecture frameworks (optional but valuable)
• Responsible AI or ethical AI certifications (optional)

Why Join Us

• Opportunities to work on transformative projects, cutting‑edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re‑skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work‑life balance and a focus on employee well‑being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.