18 AI Development jobs in Qatar

Position Summary

We are seeking a dynamic and highly motivated
AI Business Development Manager
who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in
Artificial Intelligence (AI)
,
Machine Learning (ML)
, and
Data Science
.

The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.

Key Responsibilities

Customer Engagement & Opportunity Discovery

• Meet with key stakeholders across industries to
  understand their business models, challenges, and pain points
  .
• Conduct detailed
  needs assessments
  to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.
• Act as a
  trusted advisor
  to CXOs, department heads, and technical decision-makers on AI adoption.

Use Case Ideation & Solutioning

• Co-create and develop AI-driven use cases
  tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).
• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.
• Translate business requirements into
  technical solution briefs
  , PoC proposals, and value propositions.

Business Development & Go-to-Market Execution

• Own and drive the
  AI sales funnel
  — from lead generation to deal closure.
• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.
• Prepare compelling
  presentations and demos
  to articulate the power of AI solutions in solving business problems.

Market & Trend Intelligence

• Stay abreast of the
  latest AI/ML trends
  , emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.
• Continuously scout the market for innovative AI use cases and competitor activities.
• Provide strategic inputs for refining our
  AI portfolio, industry focus, and solution roadmap
  .

Qualifications

• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
• 5+ years of experience in
  business development
  ,
  solution consulting
  , or
  customer-facing AI roles
  .
• Proven experience in identifying and converting
  AI/Data opportunities into revenue-generating projects
  .
• Strong understanding of AI technologies:
  Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling
  , etc.
• Excellent communication, storytelling, and presentation skills.
• Ability to engage both
  technical and non-technical stakeholders
  with equal ease.

Preferred Skills

• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere,
  Open Source AI frameworks
  and Data platforms like Cloudera, Snowflake etc.
• Knowledge of
  industry-specific AI applications
  in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.
• Prior experience in a
  consulting, IT services, or AI-focused organization
  is a strong plus.

We are seeking a dynamic and highly motivated AI Business Development Manager who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.

The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.

Key Responsibilities

Customer Engagement & Opportunity Discovery

• Meet with key stakeholders across industries to understand their business models, challenges, and pain points.

• Conduct detailed needs assessments to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.

• Act as a trusted advisor to CXOs, department heads, and technical decision-makers on AI adoption.

Use Case Ideation & Solutioning

• Co-create and develop AI-driven use cases tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).

• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.

• Translate business requirements into technical solution briefs, PoC proposals, and value propositions.

Business Development & Go-to-Market Execution

• Own and drive the AI sales funnel — from lead generation to deal closure.

• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.

• Prepare compelling presentations and demos to articulate the power of AI solutions in solving business problems.

Market & Trend Intelligence

• Stay abreast of the latest AI/ML trends, emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.

• Continuously scout the market for innovative AI use cases and competitor activities.

• Provide strategic inputs for refining our AI portfolio, industry focus, and solution roadmap.

Qualifications

• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.

• 5+ years of experience in business development, solution consulting, or customer-facing AI roles.

• Proven experience in identifying and converting AI/Data opportunities into revenue-generating projects.

• Strong understanding of AI technologies: Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling, etc.

• Excellent communication, storytelling, and presentation skills.

• Ability to engage both technical and non-technical stakeholders with equal ease.

Preferred Skills

• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere, Open Source AI frameworks and Data platforms like Cloudera, Snowflake etc.

• Knowledge of industry-specific AI applications in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.

• Prior experience in a consulting, IT services, or AI-focused organization is a strong plus.

Location

Doha, Qatar

Experience

3-5

Job Type

Tender

Job Description

Brief Job Description

• Develops intelligent business applications using Power Apps with integrated AI capabilities.
• Creates custom solutions leveraging AI Builder, Copilot Studio, and Microsoft Cognitive Services to build smart forms, automated document processing, and intelligent data analysis within apps.
• Implements custom GPT connections to enable natural language interactions in business apps.

Qualification

• 3+ years' experience building Power Apps solutions
• Strong knowledge of AI Builder components and custom models
• Experience integrating GPT models via connectors
• Proficiency in Power Fx formulas for AI implementation
• Background in Canvas and Model-driven app development
• Experience with Dataverse and data modelling

Certification

• Microsoft Certified: Power Platform App Maker
• Microsoft Certified: Power Platform Developer Associate
• Microsoft Certified: Azure AI Fundamentals
• Power Apps Solution Architect certification

We're Hiring: AI Software Developer & Web Application Developer

Positions Available:

1. AI Software Developer – Proven experience in developing AI/ML-based applications, NLP, and automation tools.

2. Web Application Developer – Strong knowledge in full-stack development, modern frameworks (React, Angular, .NET, etc.), and REST API integrations.

Requirements:

• Minimum 3+ years of relevant experience

• Strong problem-solving and teamwork skills

• Ability to work in fast-paced environments

• Experience with ERP integrations is a plus

-With Valid QID and Valid Qatar driving license

Location: Doha, Qatar

To Apply: Please send your CV to or message us directly here.

We are seeking a highly skilled and motivated AI Engineer (Software &hardware ) to join our growing engineering team. As an AI Engineer, you will be responsible for designing, developing, and deploying intelligent systems and machine learning models to solve complex problems across various domains. You will collaborate closely with software engineers, data scientists, and product teams to integrate AI capabilities into scalable software solutions.

Key Responsibilities:

• Design, build, and deploy machine learning models and AI algorithms.

• Develop scalable and production-ready AI solutions for real-world applications.

• Collaborate with cross-functional teams (data engineering, product, software development) to define technical requirements.

• Integrate AI models into software products and services using appropriate APIs and frameworks.

• Optimize model performance, reliability, and accuracy through testing and iteration.

• Stay up-to-date with the latest trends and advancements in AI, ML, NLP, and computer vision.

• Work with large-scale datasets: data cleaning, feature engineering, and preprocessing.

• Monitor and maintain AI systems in production, ensuring robustness and performance.

⸻

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Strong programming skills in Python (preferred), Java, or C++.

• Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Experience with model deployment tools (e.g., Docker, Kubernetes, Flask, FastAPI).

• Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML workflows.

• Understanding of software engineering best practices (Git, CI/CD, unit testing).

• Strong problem-solving and analytical thinking abilities.

⸻

Preferred Qualifications:

• Experience in deep learning, computer vision, NLP, or reinforcement learning.

• Experience with MLOps tools and practices (MLflow, Kubeflow, etc.).

• Prior experience deploying AI models in production environments.

• Knowledge of data warehousing, big data technologies (Spark, Hadoop).

• Contributions to open-source AI/ML projects.

Benefits:

• Competitive salary and performance bonuses

• Health, dental, and vision insurance

• Generous paid time off and holidays

• Remote work options and flexible hours

• Professional development and training opportunities

Department: Engineering / AI & Machine Learning

Job Type: Full-Time

Salary depends on qualifications & experience (Range 3500 to 5000)

Location: DOHA

Job Type: Full-time

Pay: QAR3, QAR5,000.00 per month

Nair Systems is currently looking for Azure AI Engineer for Qatar

Skill Set:

Should have experience in Databricks, AI foundry, machine learning, AI speech, Cosmos DB, API management, OpenAI integration, Azure Kubernetes service.

Should have experience in Infrastructure Security and the candidate should have past experience on Infrastructure Support

should be Azure AI Certified

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

Nair Systems is currently looking Azure AI Engineer for our Qatar operations with the following terms & conditions.

Certification Requirement:

· Must be Microsoft Certified: Azure AI Engineer Associate

Experience Requirement:

· Prior experience in Infrastructure Support with a strong focus on Infrastructure Security

· Hands-on experience working with infrastructure channels

Required Skills & Expertise:

· Azure AI Engineering

· Databricks

· Azure AI Foundry

· Machine Learning

· AI Speech Services

· Cosmos DB

· API Management

· OpenAI Integration

· Azure Kubernetes Service (AKS)

Joining time frame: Maximum 30 days

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

Nair Systems is currently looking for AI Azure Engineer for Qatar

Skill Set:

Should have experience in Infrastructure Security and the candidate should have past experience on Infrastructure Support

should be Azure AI Certified

Required Skills & Expertise:

·   Azure AI Engineering

·   Databricks

·   Azure AI Foundry

·   Machine Learning

·   AI Speech Services

·   Cosmos DB

·   API Management

·   OpenAI Integration

·   Azure Kubernetes Service (AKS)

Should you be interested please send resume

Job Summary
You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.
• Analyze large and complex datasets to extract actionable insights and drive business decisions.
• Interpret results and provide actionable insights to guide real-time decision-making within the business context.
• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities
Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.
• Utilize predictive modeling to optimize customer experiences and other business outcomes.
• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.
• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.
• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time.
• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.
• Interpret results, develop insights within the business context, and provide guidance on risks and limitations

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base.
• Code the final implementation that the generated code is referring to.
• Follow company software data protection and security guidelines in developing software.
• Accurately estimate the time needed to complete an assigned task.
• Identify possible causes of issues or problems.
• Think through and recommend solutions when raising issues around code, requirements, etc.
• Write technical design documentation that fully defines all application code.
• Maintain detailed knowledge of iHorizons products and services.
• Understand the business impact for labs outcomes.

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.
• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.
• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.
• Actively mentor and support mid-level and junior developers in their professional growth.
• Provide guidance on best practices in machine learning, code reviews, and project design.
• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.
• Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes.

Job Requirements
Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST.
• Google Cloud - Professional Machine Learning Engineer Certificate
• Google AgentSpace implementation experience

Previous Work Experience

• 3-4+ Years of experience in data science or machine learning.
• Must have strong experience in at least one of the following areas:
• Vision models
• NLP models (Experience in Arabic NLP is a huge plus)

Skills And Abilities

• Proficient in python, TensorFlow, keras and pytorch.
• Good experience in:
• SQL and non-relational databases.
• Data analytics reports generation.
• ML model development deployment.

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