4 AI & Emerging Technologies jobs in Nigeria
Solution Engineer - (AI Sales & Services)

Posted 2 days ago
Job Viewed
Job Description
In this role you will be the Technology Specialist (pre-sales consultant) for your assigned workload and a member of the sales team that consists of Solution Specialist, Customer Success Unit, partners, and engineering. In this role you will advance pipeline by assisting the Solution Specialist in qualifying the deal, developing the strategy and inspiring the CxO/Business Decision Maker/Technical Decision Maker. You are responsible for designing the solution and delivering an industry-aligned demonstration to the customer. You will engage partners for co-sell and implementation considerations, engineering to assist with emerging technologies and Customer Success Unit for deal support. The demo will focus on solving the technical proof requirements while highlighting our business value and competitive differentiators and should result in securing the customer's solution design endorsement. Once the solution design is secured, you will support the Solution Specialist in finalizing the customer proposal and assisting with licensing.
You will develop relationships with the decision makers with our customers and position yourself as a trusted advisor in your domain. As a recognized product expert, you are responsible for sharing your technical, industry knowledge and best practices with your peers.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Advance qualified pipeline revenue by demonstrating solution capabilities, addressing technical proof requirements, and securing the customer's solution design endorsement.
+ Engage with the account team to land solution envisioning sessions and business value assessments.
+ Proactively deliver compelling customer centric solution demonstrations based on technical workload expertise while building Business Decision Maker/CxO/Technical Decision Maker connections.
+ Address solution architecture considerations and competitive objection handling.
+ Assist in formalizing the customer proposal.
+ Collaborate with Partners and Customer Success to align on agreed upon deployment plan and Key Performance Indicators.
+ Lead discovery sessions in each opportunity, yielding output of customer-agreed business challenges and win themes prioritized with business value.
**Qualifications**
**Required/Minimum Qualifications**
+ 6+ years of technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years of technical pre-sales or technical consulting experience
**Additional or preferred qualifications**
+ 7+ years of technical pre-sales or technical consulting, or related experience OR equivalent experience.
+ 4+ years' experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 7+ years of related experience:
+ CRM applications focusing on sales and service modules and processes
+ Solution pre-sales for business applications and/or SaaS-based company or similar technology.
+ Solution pre-sales of complex business application deals requiring orchestration of large, dispersed, virtual teams composed of industry and solution team members.
+ Solutions pre-sales best practices including but not limited to; discovery, building and crafting solution strategies that differentiate from the competition, value-based selling, identifying, and expanding product opportunities.
+ Successful track record of competitive displacement.
+ Ability to drive and influence stakeholders across organizational boundaries through organizational, presentation, envisioning, writing, and verbal communication skills.
+ Proven track record in prioritization and orchestration of resources for complex customer digital transformation engagements.
+ Deep understanding of:
+ Business application solutions
+ Commercial cloud offerings, ideally Microsoft's cloud platform as well as competitive knowledge of other business applications and related ecosystems.
+ Customer facing business processes in one or more industries such as Financial Services, Manufacturing, Automotive, Oil & Gas, Utilities, Retail & Consumer Goods, Healthcare, Public Sector and Media & Communications.
+ Business value selling methodologies and practices that successfully convey the value and business outcomes
+ How to uncover customer's stated and unstated needs and how technology can be leveraged to solve business problems.
+ High level of self-awareness, reflection, and empathy.
+ Ability to skillfully communicate, demonstrate, and prove the value of Dynamics 365 Business Applications.
+ Customer-centric mindset with demonstrated passion for delivering customer value.
+ Excel at coordinating team resources to build and deliver a compelling solution demonstration
+ Proven collaborator capable of influencing internal and external teams.
+ Excellent presentation and communications skills across various customer stakeholders, e.g., CIO, CFO, CMO, VP of Sales, etc.
+ Adept at challenging perspectives and differentiating from the competition by reframing value and exemplifying customer obsession.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Cloud & AI Solution Engineer - Azure Platform

Posted 9 days ago
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Job Description
In this technical sales role, you will help customers design secure, scalable, and resilient cloud architectures that support their modernization goals. Using Azure's IaaS and PaaS services, you will guide organizations through migration, modernization, and optimization - translating technical capabilities into significant business outcomes.
You will collaborate across teams to deliver impactful solutions that enhance agility, reduce costs, and unlock value through AI-powered infrastructure.
As a Cloud & AI Solution Engineer for the Azure Platform, you will play a key role in helping customers modernize their infrastructure and unlock the full value of Microsoft's cloud. You will work directly with technical and business stakeholders to design and implement secure, scalable, and resilient architectures that support AI workloads and business-critical applications.
You bring deep expertise in migrating core workloads-including Windows, SQL Server, Linux, PostgreSQL, and Oracle-to Azure. Beyond migration, you lead customers through modernization using the 6R strategy, containerization best practices, and Azure-native services like AKS and Arc, while exploring how AI and intelligent agents can accelerate legacy transformation.
You also apply strong networking knowledge to design hybrid and cloud-native solutions, including virtual networks, VPNs, and secure routing architectures that meet enterprise performance and compliance needs. You complement this with trusted partner solutions like NetApp, VMware, RedHat, and SAP to ensure a secure, optimized, and scalable migration experience.
As you join the team, You will have the opportunity to grow your technical expertise with access to a wide range of Microsoft learning resources-including support for earning industry-recognized certifications across Azure infrastructure, security, and AI.
With a solid understanding of Azure security services and compliance frameworks you will help customers meet regulatory requirements and build Cloud environments that are ready for the future.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond
**Responsibilities**
+ Drive technical sales by using technical demos, proofs of concept, and technical architecture accelerators to influence solution design and enable deployments.
+ Lead architecture sessions and technical workshops to accelerate Azure adoption.
+ Build trusted relationships with platforms leads to co-design secure, scalable solutions.
+ Resolve technical blockers by collaborating with engineering and sharing customer insights.
+ Maintain expertise in cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance.
+ Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS).
+ Represent Microsoft in customer forums and technical communities through thought leadership.
**Qualifications**
**Required Qualifications**
+ 5+ years technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
+ OR equivalent experience
+ Proven experience in cloud infrastructure, including migration of workloads such as Windows, SQL, Linux, and PostgreSQL.
+ Experience designing or selling solutions involving hybrid networking, secure connectivity, or network performance optimization in enterprise environments.
+ Hands-on experience with Azure Kubernetes Service (AKS), App Platform, and containerization strategies.
+ Strong understanding of Azure services, including security, compliance, and hybrid cloud scenarios.
+ Ability to engage technical and business stakeholders to design and deploy scalable, secure cloud solutions.
**Additional or Preferred Qualifications (PQs)**
+ 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
+ o OR equivalent experience
+ 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
+ Familiarity with enterprise platforms such as SAP, Oracle, and ISVs like NetApp, VMware, and RedHat.
+ Knowledge of regulatory frameworks such as GDPR, HIPAA, and Public Sector compliance standards.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
AI Machine Learning Engineer (Mid to Senior Level) Remote Nigeria
Posted 1 day ago
Job Viewed
Job Description
Alpha Global is hiring a skilled AI / Machine Learning Engineer to develop intelligent systems that power real-world business solutions. You’ll be responsible for building, optimizing, and deploying machine learning models at scale. This role is ideal for professionals with 5+ years of hands-on experience in production-level AI/ML engineering using cloud-native platforms and modern ML frameworks. br>
Key Responsibilities
Mid-Level ML Engineer
Build, train, and deploy models for classification, clustering, regression, and recommendations
Work with data engineers to prepare datasets and pipelines for training
Tune models and monitor real-time performance in production
Deploy models using AWS SageMaker, Azure ML, or Google AI Platform
Use Docker and Kubernetes for containerized ML deployment
Document model design, training process, and testing outcomes
Conduct A/B testing and participate in retraining cycles
Senior ML Engineer
Lead architecture of AI/ML workflows and infrastructure
Optimize models for performance, interpretability, and scalability
Drive MLOps adoption with tools like Kubeflow and Airflow
Guide integration of AI services into broader systems and APIs
Explore advanced deep learning methods (e.g., Transformers, CNNs, NLP pipelines)
Mentor junior team members and contribute to team-wide knowledge sharing
Stay current on AI advancements and recommend innovation opportunities
Required Qualifications & Experience
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field
Proven track record of deploying ML models in production
Certifications (Preferred)
Google Professional Machine Learning Engineer
AWS Certified Machine Learning – Specialty < r>Microsoft Certified: Azure AI Engineer Associate
Technical Skills
Languages: Python (required), R (optional), Java/Scala (bonus)
ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn
Data Tools: Pandas, NumPy, Apache Spark MLlib
Cloud Platforms: AWS SageMaker, Azure ML, Google AI Platform
Containerization: Docker, Kubernetes
Orchestration: Kubeflow, Apache Airflow
Good-to-Have Skills
Experience with NLP, computer vision, or deep learning architectures
Familiarity with MLOps pipelines and deployment strategies
Knowledge of model interpretability and explainability tools
Soft Skills
Strong analytical and critical thinking abilities
Clear communication in remote, cross-functional environments
Self-driven with a research and innovation mindset
Precision-oriented with quality-focused execution
Why Join Us?
Remote-first role with global exposure to high-impact AI projects
Opportunities for certifications and continuous learning
Competitive salary aligned with European market benchmarks
Collaborative and cutting-edge engineering culture
Salary Range
₦500,000 – ₦1,000,000 Monthly Gross
Computer Vision (AI) Engineer
Posted 25 days ago
Job Viewed
Job Description
As a Computer Vision (AI) Engineer, you will be responsible for designing and implementing state-of-the-art computer vision algorithms tailored for satellite imagery analysis. Your work will directly impact applications such as object detection, environmental monitoring, change detection, and geospatial intelligence. br>You will work collaboratively with GIS Analysts, Back-End Developers, and other team members to deploy scalable AI solutions within real-world platforms. This is a high-impact role for someone who thrives on innovation, research, and hands-on development.
Key Responsibilities
• Develop advanced computer vision models for analyzing satellite imagery (e.g., segmentation, object detection, pattern recognition, change detection). < r>• rain, fine-tune, and optimize deep learning models (CNNs, Transformers, etc.) using frameworks such as TensorFlow and PyTorch. < r>• P ocess multispectral, SAR, and optical satellite imagery to extract relevant features for downstream applications. < r>• C llaborate with Back-End Developers to deploy models to production environments (cloud-based or edge devices). < r>• I tegrate AI-generated insights into geospatial workflows in partnership with GIS Analysts. < r>• O timize computer vision algorithms for performance, scalability, and low-latency edge processing. < r>• V lidate model accuracy, robustness, and reliability using real-world satellite datasets. < r>• S pport web and mobile applications by developing AI-driven features and capabilities. < r>• M intain comprehensive documentation of models, data pipelines, training experiments, and deployment processes. < r>• S ay informed of the latest research, tools, and technologies in computer vision and satellite data analytics. < r>Qualifications & Skills
• B chelor’s or Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, Remote Sensing, or related fields.
• Proven experience in computer vision and deep learning applied to imagery data.
• Strong rogramming skills in Python; proficiency in deep learning libraries like TensorFlow, Keras, or PyTorch. < r>• E perience working with satellite data (e.g., multispectral, SAR, hyperspectral) is highly desirable. < r>• F miliarity with geospatial data formats and tools (e.g., GDAL, QGIS, GeoTIFF). < r>• K owledge of cloud computing platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. < r>• A ility to work independently and collaboratively in cross-functional teams. < r>• S rong analytical, problem-solving, and communication skills. < r>What We Offer
• A chance to be part of a groundbreaking journey in African space technology. < r>• A dynamic and collaborative work environment. < r>• O portunities for professional growth and skill development. < r>• A cess to innovative projects with real-world impact. < r>• C mpetitive salary and benefits package.
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