AI Engineering Specialist Job at Dakahlia Group

AI Platform Site Reliability Engineering Specialist

The AI Platform Site Reliability Engineering Specialist will operate and maintai...

Location

India , Bengaluru

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
5 years of production experience in SRE / Infrastructure / ops for large-scale systems
Strong programming/scripting skills (Python, Go, Java, or equivalent)
Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
Familiarity with GPU / AI compute clusters, high-performance data storage, and distributed architectures
Experience with monitoring / observability / logging / alerting tools (Prometheus, Grafana, ELK / EFK, Datadog, etc.)
Networking and systems engineering knowledge (TCP/IP, DNS, routing, load balancing, distributed storage)
Solid experience in capacity planning, performance tuning, scaling, and incident response
Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improvements

Job Responsibility

Operate, monitor, and maintain the infrastructure supporting GenAI applications ( training, inference, feature store, data ingestion, model serving)
Design and build automation for core platform capabilities, reducing manual toil
Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes / container orchestration, etc.
Establish, monitor and enforce SLOs/SLIs/LSAs, error budgets, alerting, and dashboards
Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation
Perform capacity planning, scaling strategies, workload scheduling and resource forecasting
Optimize cost vs. performance trade-offs in large-scale compute environments
Harden systems for security, compliance, auditability, and data governance
Collaborate across teams (cloud engineers, data engineers, infrastructure, security) to ensure safe deployment, rollout, rollback, and integration of new systems
Define disaster recover (DR) strategies, back/restore practices, fault tolerance mechanisms

Gen AI Engineering and Scaled AI Transformation

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in software engineering, ML, or AI platforms, with 5+ years leading senior engineers and architects
3+ years of hands‑on experience deploying LLM‑based systems in production environments at enterprise scale
Demonstrated authority across commercial and open‑source LLM ecosystems (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies
Proven ability to define enterprise-wide GenAI standards, reference architectures, and reusable accelerators
Demonstrated leadership in establishing prompt engineering standards and orchestration patterns
Experience optimizing latency, throughput, accuracy, and token cost across large‑scale GenAI workloads
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

Job Responsibility

Acts as a senior technical authority on Large Language Models, including both commercial and open‑source ecosystems (OpenAI, Gemini, Claude, Llama)
Leads model selection and deployment strategy, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints
Guides decisions on hosted vs. private vs. fine‑tuned models, ensuring optimal trade‑offs between performance, control, and operational risk
Establishes enterprise standards for LLM lifecycle management, including upgrades, regression validation, and decommissioning
Demonstrates hands‑on leadership in building GenAI applications using LangChain, LangGraph, LlamaIndex, and Hugging Face, translating experimentation into production systems
Architects agentic and multi‑step workflows, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale
Sets reusable reference patterns and accelerators for GenAI adoption across application teams
Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility
Designs and delivers robust RAG architectures that ground GenAI outputs in trusted, auditable enterprise data
Leads implementation of vector databases and embedding strategies (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models

Fulltime

New

Digital Sales Specialist - AI Business Solutions - AI workforce - Polish speaking

Come build community, explore your passions and do your best work at Microsoft. ...

Location

Ireland , Dublin

Salary:

44000.00 - 57200.00 EUR / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's or Master's Degree in Business, Technology, Marketing, Human Resources, or a related field, and/or up to 2 years experience in technology sales, consulting, customer success, or account management
Proficiency in written, reading, and conversational English & Polish
Business Relationship Management
Consultative Selling
Conflict Resolution

Job Responsibility

Drive AI transformation deals by conducting consultative selling conversations with business decision makers (BDMs), showcasing the value of Copilot, Copilot Studio, Viva, and Agents at Work
Act as a trusted advisor by aligning AI solutions to customer priorities, building compelling ROI-based business cases, and qualifying deals effectively
Accelerate paid Copilot growth through immersive engagements, extensibility strategies, and security-focused narratives
Partner with others cross-organizationally and support the development of end-to-end sales motions for Copilot Studio and Cloud PC/Virtualization (Windows 365 and AVD), including Intune Suite attach opportunities
Grow frontline worker (FLW) sockets and Copilot adoption, driving upsell and customer prioritization in collaboration with Digital Sales and Engineering teams
Support Agent 365、ME5、ME7 opportunities through partner-led motions and orchestrate deal closure with Commercial Executives
Engage with internal stakeholders to help build new pipeline and secure customer intent to buy by leveraging digital signals, partner workshops, and marketing events
Maintain accurate account plans and MSX updates, ensuring alignment with strategic priorities and consumption milestones
Coordinate cross-solution opportunities across Security, Business Applications, Surface, and Azure, partnering with ATU, CSU, FastTrack, and other stakeholders
Uphold compliance by modeling ethical behavior, completing required trainings, and proactively identifying and escalating risks

What we offer

Benefits and other compensation (details at provided link)

Fulltime

New

Digital Sales Specialist - AI Business Solutions - AI Workforce - Portuguese Speaking

Come build community, explore your passions and do your best work at Microsoft. ...

Location

Ireland , Dublin

Salary:

44000.00 - 57200.00 EUR / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's or Master's Degree in Business, Technology, Marketing, Human Resources, or a related field, and/or up to 2 years experience in technology sales, consulting, customer success, or account management
This role requires proficiency in written, reading, and conversational English & Portuguese
Business Relationship Management: The ability to develop and maintain positive working relationships with supervisors, staff, managers, customers, and vendors
Consultative Selling: The ability to understand customer needs through dialogue before recommending products/services
Conflict Resolution: The ability to manage conflict, disharmony, and strife among people and situations
This role is based in Ireland and has a work site flexibility of up to 50% work from home

Job Responsibility

Drive AI transformation deals by conducting consultative selling conversations with business decision makers (BDMs), showcasing the value of Copilot, Copilot Studio, Viva, and Agents at Work
Act as a trusted advisor by aligning AI solutions to customer priorities, building compelling ROI-based business cases, and qualifying deals effectively
Accelerate paid Copilot growth through immersive engagements, extensibility strategies, and security-focused narratives
Partner with others cross-organizationally and support the development of end-to-end sales motions for Copilot Studio and Cloud PC/Virtualization (Windows 365 and AVD), including Intune Suite attach opportunities
Grow frontline worker (FLW) sockets and Copilot adoption, driving upsell and customer prioritization in collaboration with Digital Sales and Engineering teams
Support Agent 365、ME5、ME7 opportunities through partner-led motions and orchestrate deal closure with Commercial Executives
Engage with internal stakeholders to help build new pipeline and secure customer intent to buy by leveraging digital signals, partner workshops, and marketing events
Maintain accurate account plans and MSX updates, ensuring alignment with strategic priorities and consumption milestones
Coordinate cross-solution opportunities across Security, Business Applications, Surface, and Azure, partnering with ATU, CSU, FastTrack, and other stakeholders
Uphold compliance by modeling ethical behavior, completing required trainings, and proactively identifying and escalating risks

What we offer

Benefits and other compensation (details at https://careers.microsoft.com/v2/global/en/corporate-pay/ireland-corporate-pay.html)

Fulltime

Specialist, Data and AI - AI Platforms

The Specialist, Data & Analytics – AI Platforms acts as a technical steward with...

Location

Canada , Toronto

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields
5+ years of IT experience in large enterprise environments
Experience with technologies supporting AI/ML environments, including: Azure DevOps & GitHub, Azure Kubernetes Service, Databricks, Azure Machine Learning, Azure AI Foundry, Azure Data Factory, Azure Function Apps, Azure Storage Accounts, Key Vault, SQL Server Databases, Service Bus
Excellent communication skills (written and verbal)
Strong problem solving and analytical abilities
Proven capability to work effectively in team driven, collaborative environments
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Job Responsibility

Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture
Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems
Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes
Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards
Manage compute, storage, networking, and other Azure resources needed for AI platforms
Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation
Support infrastructure as code processes using approved templates and CI/CD pipelines
Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards
Support model packaging, deployment, versioning, rollbacks, and promotion across environments
Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health

New

Technical Solution Management Specialist - AI Evaluation, Research, and Technical Architecture Func.

With more than 45,000 employees and partners worldwide, the Customer Experience ...

Location

United States , Redmond

Salary:

97600.00 - 188400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 4+ years experience in technical program management, preferably in AI, machine learning, research, data science, technical architecture, or customer experience domains. OR equivalent experience.
2+ years of experience managing cross-functional and/or cross-team projects.

Job Responsibility

Define and communicate a future-state vision for AI evaluation, research quality, and technical architecture across the XIO AI Innovation Lab.
Develop and maintain technical blueprints for research, validation, evaluation, experimentation, and Test Kitchen-ready handoff capabilities.
Define and maintain related processes and playbooks for scaling pre 0-to-1 motions using the lab flow: Signal -> Research -> Validation -> Research Paper -> PoC Candidate -> Test Kitchen.
Influence technical roadmaps for consistent product evaluation frameworks and tooling.
Track best practices, Microsoft product updates, frontier AI research, and emerging AI trends to inform lab strategy and publication direction.
Ensure alignment of evaluation frameworks with business priorities and Responsible AI standards.
Build and scale multi-dimensional evaluation approaches for diverse lab-stage AI workloads, including chatbots, customer self-service agents, predictive models, and generative tools.
Develop automated testing frameworks, including synthetic scenario generation, adversarial stress-testing, and batch evaluation.
Implement lab-appropriate experimentation patterns, including offline evaluation, synthetic scenario testing, feature-flagged trials where appropriate, and monitoring plans for downstream PoC owners.
Partner with engineering, data science, and prototyping teams to integrate evaluation tools into prototype scaffolds, CI/CD pipelines where relevant, and Test Kitchen handoff plans.

Fulltime

New

Automation & Gen AI Specialist (Customer-Facing)

We are seeking a dynamic and innovative Automation & Generative AI Specialist wh...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5–10 years of overall experience in Automation, RPA, and AI/Generative AI solutions
Minimum 2–3 years of hands-on experience in Generative AI / LLM-based solutions
Proven experience in customer-facing roles, pre-sales, or consulting environments
Demonstrated excellent communication and presentation skills, with the ability to articulate complex technical concepts to business stakeholders
Hands-on experience in delivering customer demos, POCs, and solution walkthroughs for AI and automation use cases
Prior experience in designing and delivering end-to-end automation solutions is highly preferred

Job Responsibility

Design and implement end-to-end automation solutions using RPA tools (UiPath, Automation Anywhere, Power Automate, etc.)
Develop and deploy Generative AI solutions using LLMs, prompt engineering, and AI frameworks
Integrate AI models with enterprise systems, APIs, and workflows
Identify automation opportunities to improve efficiency and reduce operational costs
Monitor, optimize, and maintain automation pipelines and AI solutions
Build AI-powered solutions such as chatbots and virtual assistants, document processing and summarization, content generation tools, intelligent decision-support systems
Work with data teams to curate datasets and fine-tune AI models
Ensure ethical AI practices, data privacy, and compliance
Conduct customer-facing presentations, demos, and workshops on AI and automation capabilities
Translate technical concepts into business-friendly insights

Fulltime

AI Specialist

Fugro is a global leader in geodata solutions, operating at the forefront of dig...

Location

Netherlands , Nootdorp

Salary:

Not provided

Fugro

Expiration Date

Until further notice

Requirements

BSc degree in Computer Science, Data Science or a related field
A minimum of 3 years in AI model development and deployment
Certifications in AWS or Azure AI Fundamentals
Python for Data Science
Proficiency in Python and ML libraries
Understanding of data preparation and feature engineering
Basic knowledge of MLOps and Cloud platforms
Excellent English language skills, both written and oral

Job Responsibility

Build and train AI models using approved frameworks and datasets
Optimize models for performance and scalability
Validate outputs and ensure alignment with business requirements
Prepare and clean data for modelling activities
Integrate AI models into applications and workflows
Maintain data lineage and documentation
Ensure adherence to responsible AI principles and organisational policies
Work with the NextGen AI Lead to prioritise tasks and deliverables
Participate in knowledge sharing and continuous improvement activities
Collaborate with data engineers, IT teams, innovation groups and business stakeholders

What we offer

Competitive salary
29 holidays per year based on a fulltime employment (of which 4 are appointed by Fugro management) and the possibility to purchase 12 additional days
Extensive career & training opportunities both nationally and internationally
Flexible working hours and the ability to work from home in accordance with your manager and corporate policies
Commuting allowance
Modern pension scheme
Collective health insurance
Possibility to register with our corporate fitness plan
Coaching options through our EAP (Employee Assistance Program)

Fulltime

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