JOB DESCRIPTION
Who we are
We are building a state-of-the-art AI team to drive business innovation. Our team is structured for success : AI Solution Engineers partner with the business to design the "what" and the "why," and as our AI Ops Engineer, you will be the expert who masters the "how."
What you'll be doing
- Take the solutions and model architectures designed by the AI Solution Engineer and lead their hands-on implementation
- You will partner directly with non-technical business stakeholders to deeply understand the core processes that generate our data
- You’ll act as a BI expert, collaborating on the definition and creation of robust data models (facts, dimensions) that serve as the foundation for our AI systems
- Write clean, production-grade Python code to build, train, and fine-tune models, translating business logic and domain knowledge into powerful, predictive features
- Work in a tight feedback loop with business users to tune and refine model outputs
- You will be responsible for ensuring the model’s results are not only statistically accurate but also intuitive and actionable for the people using them
- This is your primary domain of ownership
- You will design, build, and maintain our entire MLOps infrastructure using GCP and Vertex AI
- Establish and manage the CI / CD pipelines for our AI models, automating the end-to-end process from code commit to production deployment
- Use tools like Airflow to orchestrate complex model retraining jobs, data refresh cycles, and other essential workflows
- Own the deployment of models as scalable, low-latency API endpoints. You are responsible for monitoring their health, performance, and cost, making continuous optimizations
- As a foundational member of the team, you will establish and enforce best practices for code quality, model versioning, monitoring, and alerting
What You'll bring along
University Degree in Computer Science, or a related fieldMinimum of 3-5 years of experience in a similar roleYou have a genuine curiosity for how the business works and an ability to understand the "why" behind the dataYou have proven experience acting as a bridge between technical teams and business departments, skilled at active listening, asking the right questions, and building trust with non-technical colleaguesDemonstrable experience in a hands-on role like ML Engineer or AI Engineer where you were responsible for building and shipping AI production systemsHigh proficiency in Python, writing clean, maintainable, and testable code for both data processing (e.g., Pandas) and ML development (e.g., Scikit-learn, TensorFlow / PyTorch)The ability to write complex, efficient SQL queries to work with large datasets. Experience with Google BigQuery is a major assetHands-on experience deploying and managing applications or services on a major cloud platform (GCP is strongly preferred; significant AWS / Azure experience is also relevant)You are passionate about writing code and building systems. You have a pragmatic approach to engineering and a high bar for qualityProven experience using the GCP Vertex AI suite (especially Pipelines, Endpoints, Training, and Model Registry) to build and operate ML systemsDirect experience building CI / CD pipelines for ML (e.g., using GitHub Actions, Jenkins) and orchestrating workflows with Apache AirflowPractical experience with tools like Terraform for managing cloud infrastructureA strong working knowledge of Docker and experience with Kubernetes (GKE)Proficiency in English speaking and writingDocument
What’s in it for you
New beginnings can be a challenge. We promise a smooth integration and a supportive mentorPick your working style : choose from Remote, Hybrid or Office work opportunitiesEarly bird or night owl? Our projects have different working hours to suit your needsNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platformsWe want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for youA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching SchoolMake the most of our epic or themed events – they’re lovingly designed for our people and their familiesNTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.
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What’s in it for you
New beginnings can be a challenge. We promise a smooth integration and a supportive mentorPick your working style : choose from Remote, Hybrid or Office work opportunitiesEarly bird or night owl? Our projects have different working hours to suit your needsNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platformsWe want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for youA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching SchoolMake the most of our epic or themed events – they’re lovingly designed for our people and their familiesYour unique talent is what matters. NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.
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