AI/ML DevOps Engineer Job at NTT DATA (Noida)

DevOps Quality Engineer

Engineer reliability at scale. We’re looking for a DevOps Quality Engineer who t...

Location

Bulgaria , Sofia

Salary:

Not provided

European Bank for Reconstruction and Development

Expiration Date

Until further notice

Requirements

Holds ISTQB Foundation as a minimum
Advanced Test Analyst or equivalent certifications desirable
Qualification in IT Service Management (ITIL v3 or v4 Foundation) or demonstrable experience integrating QA practices into ITSM processes
Familiar with the NIST Cybersecurity Framework (CSF) and Digital Operational Resilience Act (DORA), with practical awareness of how they influence quality standards and assurance planning
Demonstrates solid understanding of automation and non-functional testing concepts, including performance, accessibility, and shift-left/shift-right practices
Experience working within Agile, DevOps, and product-aligned teams, contributing to sprint-based delivery and continuous integration testing strategies
Proficient in test tooling and CI/CD frameworks including Azure DevOps, Selenium, Cypress, Jenkins, Git, and test management platforms such as TestRail or Zephyr
Familiarity with AI/ML use cases in quality engineering, including AI-assisted test case generation, defect clustering, and predictive analytics
Strong communication and collaboration skills, with the ability to explain test scenarios, defects, and coverage to technical and non-technical stakeholders
Awareness of security, compliance, and resilience considerations such as OWASP Top 10, ISO 27001, GDPR, and DORA, with practical experience embedding these into quality practices

Job Responsibility

Plans and performs testing of infrastructure changes, configuration updates, and cloud deployments across data centres, branch offices, and Azure environments, ensuring functional and non-functional validations
Collaborates with DevOps, Infrastructure, and Cloud Platform teams to verify IaC deployments, perform smoke testing post-deployment, and document any issues in platform reliability
Writes and maintains basic automation scripts or checklists for network, AV, and platform components, contributing to regression detection and provisioning assurance
Investigates environment or deployment defects, escalates issues with supporting diagnostics, and retests fixes with attention to uptime, latency, and failover coverage
Engages in sprint reviews and planning sessions, raising risks tied to infrastructure changes, recommending testing scope for AV, cloud services, or network resilience improvements

What we offer

Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in
A working culture that embraces inclusion and celebrates diversity
An environment that places sustainability, equality and digital transformation at the heart of what we do

Fulltime

Senior DevOps Engineer (GCP)

Our client is a global UK-based financial services and investment banking organi...

Location

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, Cloud Engineering, or SRE roles
Strong hands-on experience with Google Cloud Platform, including: GKE / Kubernetes, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, VPC, IAM, networking, security
Expertise in Terraform, Helm, or other IaC tools
Experience building CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, Jenkins, etc.)
Strong understanding of containerization and orchestration: Docker, Kubernetes
Solid experience with monitoring, observability, and logging stacks
Familiarity with networking, load balancing, security hardening, and zero-trust principles
Experience supporting production systems in high-availability, distributed environments
Strong scripting skills (Python, Bash, or similar)
Experience working with agile engineering teams

Job Responsibility

Design, implement, and maintain cloud infrastructure on Google Cloud (GKE, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage)
Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
Develop infrastructure-as-code using Terraform or similar tools
Set up and maintain container orchestration (Kubernetes, GKE) and automated deployment workflows
Implement monitoring, alerting, and observability using tools such as Prometheus, Grafana, ELK/Elastic, Stackdriver, or OpenTelemetry
Ensure compliance with security and governance standards across all environments
Collaborate closely with engineering teams to ensure scalable, high-performance deployment architectures
Support AI/ML and GenAI workloads (Vertex AI pipelines, model hosting, GPU workloads, inference optimization)
Manage environment strategies, release pipelines, configuration management, and secrets management
Optimize cloud costs and recommend improvements for performance and reliability

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

DevOps Engineer

We are looking for a skilled and motivated DevOps Engineer to join our team and ...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

2+ years of hands-on experience in DevOps or Cloud Engineering
Experience with Azure (preferred), AWS, or similar cloud platforms
Proficiency in Kubernetes, Docker, Helm, and Terraform
Familiarity with CI/CD tools (Azure DevOps, Jenkins) and scripting (Python, Bash)
Understanding of cloud networking, API gateways, load balancing, and monitoring/logging tools (Prometheus, Grafana, ELK)
Experience with data storage solutions and ETL/ELT concepts
Basic knowledge of cloud security, GDPR compliance, RBAC, and auditability
Strong troubleshooting skills and willingness to support incident management
English and Polish language at a minimum B2 level
Degree in Computer Science, IT, or related field—or equivalent experience.

Job Responsibility

Design, implement, and manage cloud infrastructure for GenAI-based platforms (Azure-focused)
Maintain and enhance CI/CD pipelines for deploying AI/ML and conversational AI solutions
Automate provisioning, monitoring, and scaling of cloud-native microservices (Kubernetes, Docker, Helm, Terraform)
Support production operations including monitoring, logging, alerting, and disaster recovery
Collaborate with AI/ML engineers, backend developers, and compliance teams to deliver GenAI products
Follow best practices for Infrastructure as Code (IaC) and contribute to cloud cost optimization
Integrate and manage data storage solutions (Azure PostgreSQL Flexible Server, data lakes, warehousing)
Build and maintain secure data pipelines (ETL/ELT)
Support API integrations, API gateways, and service mesh components for multi-channel (chat/voice) deployments
Ensure compliance with privacy, GDPR, and secure data handling standards

What we offer

Flexible working hours
Hybrid work model
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

Principal AI/ML & Innovation Engineer

We are seeking Principal AI/ML & Innovation Engineer who will be leading initiat...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 10-15 years’ experience
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks
Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.)

Job Responsibility

Designing, developing, and deploying advanced machine learning models and algorithms
Leading research initiatives to explore novel approaches and technologies
Designing the architecture of AI systems and ensuring scalability, performance, and reliability
Collaborating with other teams, such as data scientists, software engineers, and product managers
Providing technical leadership and mentorship to junior engineers
Overseeing and guiding multiple design review sessions across different projects
Partnering with the engineering manager and team lead to establish long-term design and implementation strategies
Leading efforts to incorporate feedback loops and continuous improvement processes
Leading meetings, ensuring efficient progress tracking, issue resolution, and team coordination
Creating and delivering high-level presentations and reports to executive stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Devops & AI Engineer

This role presents a unique opportunity to contribute to the future of impactful...

Location

India , Hyderabad

Salary:

Not provided

Fission Labs

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
6+ years of experience in Infrastructure Mgmt. roles, with a focus on cloud platforms (Azure and AWS Preferred)
Hands-on experience with operations (DevSecOps) principles and best practices
Proficiency in scripting languages such as Python, PowerShell, or Bash
Excellent communication and collaboration skills
In-depth knowledge of Linux operating systems, including CentOS, Ubuntu, and Red Hat, with expertise in shell scripting, package management, and system administration
Hands-on experience with a wide range of AWS and Azure services
Develop and maintain Infrastructure as Code (IAC) templates using tools such as Terraform or AWS CloudFormation
Experience setting up cloud infrastructure stack, databases, service endpoints, GPU as well as CPU resource scaling, optimization etc.
Should have worked AIOps/MLOP

Job Responsibility

Configure and optimize Linux-based servers for performance, security, and resource utilization, including kernel tuning, file system management, and network configuration
Architect cloud solutions leveraging best practices and services offered by AWS and Azure, optimizing for scalability, reliability, and cost-effectiveness
Implement and manage hybrid cloud environments, facilitating seamless integration and interoperability between AWS and Azure services
Establish version control practices for IAC templates, ensuring traceability, auditability, and reproducibility of infrastructure changes

What we offer

Opportunity to work on impactful technical challenges with global reach
Vast opportunities for self-development, including online university access and knowledge sharing opportunities
Sponsored Tech Talks & Hackathons to foster innovation and learning
Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
Supportive work environment with forums to explore passions beyond work

Fulltime

Platform Engineer

Motorica is at a breakthrough moment. We’ve built a generative AI animation plat...

Location

Sweden , Stockholm

Salary:

Not provided

Motorica

Expiration Date

Until further notice

Requirements

Proven experience in Platform Engineering, SRE, or DevOps, ideally in high-growth or AI/ML-heavy environments
Strong grasp of CI/CD systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes)
Familiarity with observability, monitoring, and incident response best practices
Security mindset with hands-on experience in audits, compliance (ISO 27001, SOC2, etc.), and vulnerability management
Strong communication skills
you’ll be interfacing with developers daily and need to translate infrastructure into clarity, not complexity
A proactive, solution-oriented mindset: you anticipate friction before others feel it

Job Responsibility

Provide common infrastructure guidance, reusable patterns, and automated tooling to engineering teams
Own the “paved road” for developers, reducing friction and cognitive load
Champion and implement security best practices across the entire platform
Play a key role in achieving ISO 27001 certification through technical implementation and evidence gathering
Build and operate a highly reliable and cost-efficient platform, with particular focus on optimizing GPU-heavy AI/ML workloads
Manage CI/CD systems (GitHub Actions, GitLab CI) and track key metrics like build times, deployment frequency, and failure rates
Oversee cloud environments (AWS, GCP), including health, security, and cost reporting
Lead security scans, audits, and vulnerability remediation
Maintain observability stack (Prometheus, Grafana, Datadog, GCP Logging), ensuring meaningful dashboards and alerts
Act as point-of-contact for ML Research team’s infra requests (GPU access, specialized pipelines)

What we offer

Stock Options program
Retirement Plan
Health Benefits (5000 SEK/year)
Life Insurance / Health Insurance / Injury Insurance
Competitive compensation

Fulltime

Head of Engineering

Lead the Technical Transformation Towards an AI-Driven SaaS Future We are undert...

Location

Sweden , Stockholm; Malmö

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Extensive experience in a senior engineering leadership role, such as Head of Engineering, CTO, or Principal Architect, within a SaaS or technology-driven environment
Proven ability to design and operate large-scale distributed systems with a focus on scalability, performance, and reliability
Advanced proficiency in cloud-native engineering, containerization, and DevOps practices
Experience integrating AI/ML technologies into production environments and maintaining robust MLOps workflows
Strong knowledge of data engineering and architectural design for AI-readiness
Exceptional technical judgment and the ability to balance innovation with stability and quality
Demonstrated ability to translate business and product requirements into effective, maintainable technical solutions

Job Responsibility

Provide strategic and operational leadership to the Engineering organization, ensuring the successful delivery of an AI-first, cloud-native SaaS platform
Design and evolve a highly scalable multi-tenant SaaS architecture capable of supporting millions of transactions efficiently
Oversee the development and maintenance of a cloud-native infrastructure, leveraging containerization (Docker, Kubernetes) and CI/CD automation
Collaborate with data science and ML teams to integrate AI and machine learning models into production systems
Develop and manage MLOps pipelines and data infrastructure, including data pipelines, data lakes, and data warehouses

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Senior Vice President of Engineering

Actian is a global leader in hybrid data management, cloud data warehousing, and...

Location

France , Paris

Salary:

Not provided

Actian

Expiration Date

Until further notice

Requirements

20+ years of experience in software engineering
At least 8 years in senior executive leadership roles
Proven track record of scaling large, distributed engineering organizations in fast-growing software or SaaS environments
Deep expertise in cloud-native architectures, AI/ML integration, connectivity, and modern DevOps practices
Strong experience managing multi-disciplinary teams (engineering, quality, operations) across international locations
Exceptional leadership, organizational design, and stakeholder management skills
Fluency in English (both written and spoken) is required
Based in Europe, with the ability to collaborate effectively across global time zones
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (MBA or equivalent experience a plus)

Job Responsibility

Define and execute the engineering vision and strategy in alignment with company objectives and product roadmaps
Partner with the CPTO and Product leaders to drive the successful delivery of innovative, high-quality, and secure solutions
Oversee the technical strategy for AI, connectivity, and cloud operations, ensuring scalability and performance
Lead transformation initiatives that evolve engineering processes, tools, and culture to meet global scale demands
Build and scale a world-class engineering organization across multiple geographies
Develop strong leadership within the engineering function, mentoring senior managers and fostering a high-performance culture
Establish organizational structures, processes, and metrics that enable predictable, efficient, and scalable software delivery
Drive talent acquisition and retention strategies to support growth and innovation
Ensure delivery excellence across product development, AI initiatives, quality engineering, and cloud operations
Champion modern engineering practices, including copilots, CI/CD, DevOps, observability, and automation

What we offer

Competitive salary and benefits package
Flexible work arrangements (remote or hybrid)
Opportunities for professional growth and development

Fulltime

AI/ML DevOps Engineer

NTT DATA

Location:
India , Noida

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 26, 2026

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