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

New

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

New

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

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 Data Engineer

We are looking for a Senior AI Data Engineer to join an exciting project for our...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Several years of experience in AI and Machine Learning development, preferably in Customer Care solutions
Strong proficiency in Python and NLP frameworks
Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services)
Solid understanding of cloud architectures and microservices on Azure
Experience with CI/CD pipelines and MLOps
Excellent leadership and communication skills
Analytical mindset with strong problem-solving abilities
Polish and English at a minimum B2 level.

Job Responsibility

Lead the development and implementation of AI-powered features for a Customer Care platform
Design and deploy Machine Learning and NLP models to automate customer inquiries
Collaborate with DevOps and cloud architects to ensure a high-performance, scalable, and secure Azure-based architecture
Optimize AI models to enhance customer experience
Integrate Conversational AI, chatbots, and language models into the platform
Evaluate emerging technologies and best practices in Artificial Intelligence
Mentor and guide a team of AI/ML developers.

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Additional revenue sharing opportunities for initiating partnerships with new clients
Ongoing guidance from a dedicated Team Manager for each employee
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect.

Fulltime

New

Senior Machine Learning Operations Engineer

Passionate about building and deploying Machine Learning pipelines at scale to d...

Location

Australia , Melbourne

Salary:

Not provided

Easygo Gaming

Expiration Date

Until further notice

Requirements

5+ years of experience in MLOps, DevOps, Data Engineering and/or cloud infrastructure roles, preferably supporting data science or Machine Learning teams
Bachelor’s degree in Computer Science, Engineering, or a related technical field
Expert proficiency in cloud infrastructure management using Terraform
Deep hands-on experience with major cloud platforms (AWS, Azure or GCP)
Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads
Proficiency with containerisation technologies (Docker, Kubernetes)
Advanced proficiency in Python and scripting for infrastructure automation

Job Responsibility

Lead the design, implementation, and maintenance of end-to-end ML infrastructure and automation solutions, from: development, to deployment and production monitoring
Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads, leveraging Infrastructure as Code (IaC), particularly using Terraform
Implement and maintain CI/CD pipelines, ensuring efficient model integration, deployment, and continuous delivery
Build and optimise monitoring, alerting and logging to ensure model reliability, performance and compliance
Collaborate closely with data scientists and stakeholders to identify infrastructure needs, streamline workflows, and effectively communicate complex technical concepts
Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure

What we offer

In-house baristas serving free coffee, tea, fresh juices, and smoothies
Daily catered breakfast and regular company-wide events
Snack walls and drink fridges on every floor
Fun /modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator
Access to our Employee Assistance Program for you and your loved ones
9,000+ courses on our Learning & Development platform
One paid volunteer day per year
Weekly Wednesday massages by professional masseuses
Team budgets for lunches and activities to celebrate achievements
Social sports teams and participation in Corporate Games

Agentic Architect

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

January 26, 2026

Requirements

Master’s degree in Computer Science, Engineering, Data Science, or a related field. Ph.D. is a plus
18+ years of experience in enterprise architecture, solution delivery with a strong focus on ML and Gen AI technologies
Proven experience in solutioning AI-powered solutions at scale, preferably in client-facing environments
Deep understanding of Gen AI/Agentic frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices
Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies
Excellent communication, stakeholder engagement, and team leadership skill
Exposure to industry-specific Gen AI/Agentic use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,)
Minimum 8 years of extensive experience in solutioning end to end product/assets by leveraging multiple technology components including AI/ML and Generative AI
Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions
Proven experience in leading large-scale AI solution deployments and managing cross-functional teams

Job Responsibility

Lead the development and implementation of enterprise-wide ML and Gen AI/Agentic architectures, ensuring they are scalable, secure, and aligned with business goal
Proven experience in developing solution across IFAO/IPO/ICO/ISCO Business Services
Lead the end-to-end development & deployment of Gen AI/Agentic initiatives, from ideation and PoC to deployment and scaling
Identify opportunities for innovation and lead the creation of reusable Gen AI/Agentic assets, accelerators, and frameworks
Oversee the seamless deployment of Gen AI/Agentic models across platforms, ensuring operational efficiency and compliance
Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing for performance and maintainability
Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines
Mentor and lead a technical team and architects fostering a culture of innovation and excellence
Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption
Act as the central point of coordination among business lines, technology teams, and clients to ensure consistent delivery outcomes

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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