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Hello

Hope you are doing great

We have an Urgent & high-priority global opening with a leading consulting organization in Qatar. Immediate interview slots available. We are looking for a Senior Data & AI Consultant with strong Azure expertise to work in a highly client-facing consulting role.

🔹 Quick Role Overview

• Role: Senior Data & AI Consultant
• Location: Doha, Qatar (Onsite)
• Employment Type: Full-time
• Travel: GCC travel required
• Experience Required: 8+ years
• Domain: Data Strategy, Data Engineering, AI/ML, Consulting
• Industry Exposure: Public Sector, BFSI, Oil & Gas, Government, Healthcare, Utilities

📌 Role Summary

The Senior Data & AI Consultant will play a critical role in driving enterprise Data & AI transformations across clients. This role blends data strategy, architecture, engineering, governance, and AI/ML delivery with strong consulting, stakeholder management, and pre-sales responsibilities.

You will work closely with CXOs, business leaders, and technical teams to design scalable Azure-based data platforms, develop advanced analytics and AI solutions, and guide organizations on responsible AI adoption.

🎯 Key Responsibilities

1. Data Strategy & Advisory

• Develop enterprise-wide Data & AI strategies and transformation roadmaps
• Perform data maturity assessments and define improvement plans
• Lead CXO-level workshops aligning business goals with Data & AI initiatives
• Guide clients on responsible and ethical AI practices

2. Data Architecture & Engineering

• Design scalable data platforms on Microsoft Azure
• Architect and implement batch and real-time pipelines using ADF, Synapse, Databricks, Event Hubs
• Build enterprise data models and modern lakehouse architectures
• Implement data quality, metadata, and lineage solutions using Azure Purview
• Partner with AI teams to ensure data readiness for ML/AI use cases

3. AI & Advanced Analytics

• Lead end-to-end AI/ML solution development using Azure ML, OpenAI, Cognitive Services
• Build ML and Generative AI solutions (LLMs, RAG, prompt engineering)
• Implement MLOps practices (CI/CD, deployment, monitoring, governance)
• Ensure Responsible AI – explainability, fairness, and compliance
• Collaborate across the full AI lifecycle: data sourcing → modeling → deployment

4. Consulting, Pre-Sales & Leadership

• Lead client workshops, PoCs, demos, and discovery sessions
• Support proposal development and solution architecture design
• Contribute to thought leadership (blogs, whitepapers, events)
• Mentor junior consultants and ensure delivery excellence

🧠 Desired Skills & Competencies

✅ Must-Have

• 8+ years of experience across Data, Analytics, and/or AI roles
• Strong hands-on experience in the Azure ecosystem
• Proven consulting and client-facing experience
• Exposure to at least one specialization:
• Data Management
• Data Governance
• AI/ML Engineering

🔧 Technical Expertise (Any one or more areas)

A. Data Management

• Azure Data Factory, Synapse, Data Lake, Databricks, Event Hubs
• Strong SQL, Python, Spark
• Data modeling, ETL/ELT, data quality frameworks
• Exposure to Microsoft Fabric / Airflow / Kafka

B. Data Governance & Strategy

• Knowledge of DAMA-DMBOK, CMMI-DMM
• Experience with Informatica (Axon, IDQ, EDC, IDMC)
• Governance operating models, stewardship, privacy frameworks

C. AI/ML Engineering

• Python, TensorFlow, PyTorch, Scikit-learn, Azure ML
• Generative AI, LLMs, RAG pipelines
• Experience in at least 3 domains: NLP, CV, predictive modeling, recommender systems, anomaly detection
• Strong MLOps exposure

🤝 Consulting & Leadership Skills

• Excellent stakeholder and CXO communication
• Strong problem-solving and business translation skills
• Workshop facilitation, proposal writing, client presentations
• Mentoring and technical leadership capabilities

🎓 Education & Certifications

Required Qualification:

• BCA / B.Sc. (Computer Science) / B.E. / B.Tech
• MCA / M.E. / M.Tech

● In-depth knowledge of full-stack development principles and best practices.

● Expertise in building web applications with strong proficiency in languages like Node.js, React, and Go. 

● Experience developing and consuming RESTful and gRPC API Protocols.

● Familiarity with CI/CD workflows and DevOps processes. 

● Solid understanding of cloud platforms and container orchestration technologies.

● Experience with Kubernetes deployment and workflows using tools like Argo.

● Experience applying AI/ML models to optimize workflows or enhance product features, with familiarity in frameworks like TensorFlow, MLflow, Kubeflow, or PyTorch. 

● Experience fine-tuning existing AI/ML models to adapt to specific use cases or datasets, ensuring optimized performance. 

● Experience with Workflow Orchestration tools like Temporal and Windmill.

● Strong background in System Design. 

● Hands-on experience with Queuing Mechanisms such as RabbitMQ, Redis, and Kafka. 

● Experience with designing and building user-friendly interfaces using Tailwind CSS and Radix UI. 

● Excellent understanding of distributed systems, databases, and APIs. ● A passion for writing clean, maintainable, and well-documented code. ● Strong problem-solving skills and the ability to work independently as well as collaboratively. 

● Excellent communication and interpersonal skills. 

Bonus points if you have: 

● Experience with building self-serve platforms or user onboarding experiences.

● Familiarity with Infrastructure as Code (IaC) tools like Terraform.

● A strong understanding of security best practices for Kubernetes deployments.

● Grasp on setting up Network Architecture for distributed systems. 

About the role

Media Planning Executives are responsible for analyzing data, thinking creatively and dreaming up innovative strategies to make sure marketing campaigns reach the right target audience in the most effective way possible. Armed with this critical analysis, media planning executives devise, propose, or recommend strategies for using certain media effectively to attract and retain customers, increase brand recognition, and maintain customer satisfaction and loyalty.

Some of the things we’d like you to do:

● Creation of tactical plan presentation and supporting media plan templates
● Creation of campaign analysis plan 
● Oversee the successful launch of campaigns 
● Maintain accuracy and timely updates of deliverable tracking documents for team
● Collate commentary on media performance and conduct first review on quality
● Adherence to team quality standard for reporting template and delivery
● Keep consistent track of campaign performance and target (monthly) across all channels, flagging needs for intervention
● Use understanding of campaign and marketplace to contribute ideas for campaign experiments and also prioritize experiments
● Manage accurate forecasts, media plans, and all key media planning documentation

A bit about yourself:

● At least 2-3 years of experience in Tradional media advertising
● Working knowledge and effective vocabulary across Offline & Online 
● Experience with Media Research Tools (Comscore, GWI, TGI)
● Strong organizational skills with a keen ability to prioritize and multitask.
● Proven problem solving skills and ability to think outside of the box
● Ability to work independently and collaborate in a team environment
● Detail oriented and responsive, deadline-driven with strong reasoning skills

What you can expect from Essence

Essence’s mission is to make advertising more valuable to the world. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Essence employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, or marital status. 

Should be Graduated in the year (2021/2022) (BE/B.Tech, MCA, M.Tech)

-Good in aptitude and problem-solving skills

-Excellent in communication(Mandate)

-Passion to work in the tech industry

-Good to have exposure/trained/certified on any tech skills

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

• Develop new user-facing features
• Build reusable code and libraries for future use
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders