Azure DevOps Engineer (MLOps) - Lead Job at NorthBay (Abu Dhabi)

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Senior AI ML Engineer

We are seeking a highly skilled and experienced Assistant Vice President (AVP), ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field
Minimum of 6+ years of professional experience in Data Science, Machine Learning Engineering, or a similar role, with a strong track record of deploying ML models to production
Proven experience in a lead or senior technical role
Expert-level proficiency in Python programming, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g., TensorFlow, PyTorch)
Strong hands-on experience designing, developing, and deploying RESTful APIs using FastAPI
Solid understanding and practical experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) for MLOps
Experience with MLOps platforms, model monitoring, and model versioning
Experience with at least one major cloud provider (e.g., AWS, Azure, GCP) for deploying and managing ML workloads
Proficiency in SQL and experience working with relational and/or NoSQL databases
Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques

Job Responsibility

Design, develop, and implement advanced machine learning models (e.g., predictive, prescriptive, generative AI) to solve complex business problems, from initial data exploration and feature engineering to model training and evaluation
Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance
Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems
Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments, promoting automation and efficiency
Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment
Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve and optimize AI/ML solutions
Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control
Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies within the team
Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders.

What we offer

Not explicitly stated.

Fulltime

Lead DevOps Engineer

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps...

Location

United Arab Emirates , Abu Dhabi

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8 to 12 years of experience in DevOps and/or MLOps roles
Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
Strong expertise in Terraform, including managing and scaling infrastructure across large environments
Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring
Strong understanding of containerization technologies (Docker) and microservices architecture
Solid grasp of cloud networking, security best practices, and observability
Scripting proficiency in Bash and Python

Job Responsibility

Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
Develop and maintain Infrastructure-as-Code using Terraform
Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
Ensure cloud infrastructure is optimized, secure, and monitored effectively
Collaborate with data science teams to support ML model deployment and operationalization
Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
Build and maintain automated ML pipelines to streamline model lifecycle management

Fulltime

Lead DevOps Engineer

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps...

Location

United Arab Emirates , Abu Dhabi

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8 to 12 years of experience in DevOps and/or MLOps roles
Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
Strong expertise in Terraform, including managing and scaling infrastructure across large environments
Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring
Strong understanding of containerization technologies (Docker) and microservices architecture
Solid grasp of cloud networking, security best practices, and observability
Scripting proficiency in Bash and Python

Job Responsibility

Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
Develop and maintain Infrastructure-as-Code using Terraform
Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
Ensure cloud infrastructure is optimized, secure, and monitored effectively
Collaborate with data science teams to support ML model deployment and operationalization
Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
Build and maintain automated ML pipelines to streamline model lifecycle management

Fulltime

Lead DevOps Engineer

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps...

Location

Pakistan , Karachi

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8 to 12 years of experience in DevOps and/or MLOps roles
Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
Strong expertise in Terraform, including managing and scaling infrastructure across large environments
Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring
Strong understanding of containerization technologies (Docker) and microservices architecture
Solid grasp of cloud networking, security best practices, and observability
Scripting proficiency in Bash and Python

Job Responsibility

Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
Develop and maintain Infrastructure-as-Code using Terraform
Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
Ensure cloud infrastructure is optimized, secure, and monitored effectively
Collaborate with data science teams to support ML model deployment and operationalization
Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
Build and maintain automated ML pipelines to streamline model lifecycle management

Fulltime

Lead DevOps Engineer

NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps...

Location

India

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8 to 12 years of experience in DevOps and/or MLOps roles
Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
Strong expertise in Terraform, including managing and scaling infrastructure across large environments
Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring
Strong understanding of containerization technologies (Docker) and microservices architecture
Solid grasp of cloud networking, security best practices, and observability
Scripting proficiency in Bash and Python

Job Responsibility

Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps
Develop and maintain Infrastructure-as-Code using Terraform
Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
Ensure cloud infrastructure is optimized, secure, and monitored effectively
Collaborate with data science teams to support ML model deployment and operationalization
Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)
Build and maintain automated ML pipelines to streamline model lifecycle management

Fulltime

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
9+ years of experience in AI/ML engineering or related roles
3+ years of experience in Generative AI with team leadership responsibilities
Proven track record of production-grade ML and GenAI model development and deployment
Programming: Python (preferred)
GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism

Job Responsibility

Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
Work closely with cross-functional teams to gather requirements and deliver high-quality solutions

What we offer

Competitive salary aligned with market standards
Opportunities for professional development and skill enhancement
A collaborative and innovative work environment

Fulltime

Senior AI Engineer

We’re looking for a Senior AI Engineer to help lead, shape, and scale our AI eng...

Location

South Africa , Cape Town

Salary:

Not provided

Inference Group

Expiration Date

Until further notice

Requirements

5–8+ years’ experience in AI/ML, data engineering, or software engineering, including time in a senior or lead role
A proven track record of delivering end-to-end AI/ML solutions into production
Experience mentoring engineers or acting as a technical lead on projects
Strong architectural thinking
Confidence making technical decisions and taking ownership of outcomes
The ability to communicate clearly and collaborate across technical and non-technical teams
A genuine interest in emerging AI technologies and a commitment to continuous learning
Strong experience with Microsoft Azure, including some or all of: Azure Machine Learning (Azure ML), Azure Kubernetes Service (AKS), Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, Azure DevOps, Power BI, Azure OpenAI Service

Job Responsibility

Design, develop, and deploy AI and machine learning solutions using the Microsoft Azure ecosystem
Build, train, fine-tune, and evaluate machine learning models using large, real-world data sets
Own AI solutions end-to-end — from data ingestion and modelling through to deployment, monitoring, and optimisation
Lead the delivery of scalable, production-ready AI solutions, embedding strong MLOps practices
Continuously assess and improve model performance, accuracy, and reliability
Oversee AI/ML delivery across multiple client engagements, ensuring consistency and quality
Set technical standards for architecture, coding, deployment, and performance across AI projects
Mentor and coach AI Engineers and junior team members
Review and guide technical work to ensure solutions are secure, ethical, maintainable, and scalable
Help shape and evolve our AI engineering best practices, documentation, and delivery frameworks

What we offer

Hands-on experience
Mentorship
Access to the latest technologies
Ongoing training and certifications

Azure DevOps Engineer (MLOps) - Lead

NorthBay

Location:
United Arab Emirates , Abu Dhabi

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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