22 Neural Networks jobs in Qatar

Role & responsibilities

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.

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.

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.

• Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
• Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
• Build and present product architectures, write technical code, and demo applications to stakeholders.
• Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
• Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
• Use your strengths to support team members and build cross-functional relationships across the company.
• Work to ship solutions to production that meet business needs and drive impact.

• Graduate or pursuing a bachelor's degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
• Minimum 3.7 cumulative GPA off a 4.0 scale without rounding

• Strong academic performance in Computer Science or other STEM disciplines
• Experience designing AI solutions and architecting distributed data systems

• Proficiency in programming and debugging with Python, C#, C++, and SQL

• Customer-centric mindset with ability to lead design thinking workshops

• Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision

• Experience building solutions using public cloud platforms such as AWS or Azure

• Preferred but not required: AWS and/or Azure certification

• No prior work experience required

• Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
• Location: Remote
• Paid Internship
• Travel Opportunities
• Real-world project ownership
• Mentorship from experienced engineers
• Opportunity for return offers

About us:

The Group Securities is a well-established investment organization working in the finance industry since 1989, as a company devoted to the stock exchange. It was licensed once Qatar Stock Exchange was founded in 1997 and provides an array of investment services to more than 400,000 investors, with portfolios exceeding QR 100 billion. As brokerage firm, The Group Securities finances margin trading and operates as liquidity provider for the listed shares and ETFs. The company has a paid-up capital worth (QR 1 billion) and has been continuously posting profit since its inception. Besides being licensed by Qatar Financial Market Authority to exercise these activities, The Group Securities is also a member of Qatar Stock Exchange.

Responsibilities:

• Work on research involving big data, and integrated AI algorithms into the financial market.
• Develop systems/services for the firm/consumers that are powered with AI technologies.
• Work along with the team members to improve existing systems, increase the efficiency, or embed AI algorithms to existing processes.

Requirements:

• 2-4 years of experience working in AI, with a bachelor's degree in computer science or related fields.
• Very strong and deep understanding in Mathematics, Statistics, and the innerworkings of AI algorithms.
• Experience in Python, C++ or Java.
• Strong knowledge in handling big data, SQL, frameworks like Apache Spark.
• Experience in deploying AI services/systems onto a live environment.
• Knowledge in OOP, software development methodology and life cycle, and version controlling tools (Git).

About us:

The Group Securities is a well-established investment organization working in the finance industry since 1989, as a company devoted to the stock exchange. It was licensed once Qatar Stock Exchange was founded in 1997 and provides an array of investment services to more than 400,000 investors, with portfolios exceeding QR 100 billion. As brokerage firm, The Group Securities finances margin trading and operates as liquidity provider for the listed shares and ETFs. The company has a paid-up capital worth (QR 1 billion) and has been continuously posting profit since its inception. Besides being licensed by Qatar Financial Market Authority to exercise these activities, The Group Securities is also a member of Qatar Stock Exchange.

Responsibilities:

• Work on research involving big data, and integrated AI algorithms into the financial market.
• Develop systems/services for the firm/consumers that are powered with AI technologies.
• Work along with the team members to improve existing systems, increase the efficiency, or embed AI algorithms to existing processes.

Requirements:

• 2-4 years of experience working in AI, with a bachelor’s degree in computer science or related fields.
• Very strong and deep understanding in Mathematics, Statistics, and the innerworkings of AI algorithms.
• Experience in Python, C++ or Java.
• Strong knowledge in handling big data, SQL, frameworks like Apache Spark.
• Experience in deploying AI services/systems onto a live environment.
• Knowledge in OOP, software development methodology and life cycle, and version controlling tools (Git).

Overview

• Design and deliver end-to-end AI solutions focused on sports, sport performance, education, and medical sectors.
• Develop scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
• Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution implementation.
• Integrate AI solutions with enterprise systems (ERP, CRM, medical, and sports performance platforms) and manage both structured and unstructured data sources.
• Ensure compliance with data regulations (GDPR, HIPAA, etc.), and implement AI governance, security, and risk management best practices.
• Deploy, customize, and optimize AI models for real-world applications; monitor system performance, scalability, and reliability.
• Serve as a liaison and advisor to internal stakeholders and clients, identifying opportunities for AI adoption and demonstrating measurable business value.
• Track and report on KPIs and ROI for AI deployments.
• Stay updated on advancements from cloud AI providers and implement relevant system improvements.
• Collaborate with cross-functional teams, bridging technical and business requirements.

• 8+ years of experience in Solution Architecture, with at least 4 years in applied AI / ML projects.
• Bachelor's degree in Computer Science, AI, Data Science, IT, or Engineering.
• Relevant certifications (e.g., MS Certified AI Developer / Architect, Azure AI Foundry, Google Cloud AI / ML platforms).

• Proven expertise in developing and deploying AI projects.
• Proficiency in AI concepts, tools, frameworks, and models.
• Strong solution architecture skills, including architecture evaluation, component modeling, and impact analysis.
• Proficient in SDLC, requirements analysis, and both high-level and detailed technical design.
• Advanced proficiency in Azure AI Foundry and Google Agent Builder for enterprise AI deployment.
• Knowledge of Advanced RAG for knowledge management, and experience with SQL, NoSQL, vector databases, knowledge graphs.
• Ability to design secure, scalable, and high-performance AI systems.
• Excellent communication skills for interfacing with technical and non-technical stakeholders.