Data & AI Specialist

Kyndryl; Roma; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Italy seeks a Data & AI Specialist. You will design and operationalize AI solutions, develop data pipelines, and support MLOps practices. Candidates should have 2–3 years of experience in data engineering and proficiency in Python. The role requires strong collaboration skills and familiarity with cloud technologies. This position offers dynamic challenges in a supportive environment focused on innovation and professional growth.

Servizi

Flexible working hours

Health benefits

Career development opportunities

Competenze

• 2–3 years of experience in data engineering or AI engineering roles.
• Proficient in Python; experience with C++, C#, or Rust is a plus.
• Hands-on experience with data lakes and data warehouses.

Mansioni

• Build and maintain data pipelines and AI-enabled services.
• Implement machine learning solutions within enterprise workflows.
• Collaborate with architects and data scientists to deliver solutions.

Conoscenze

Data engineering

AI systems

Python

Cloud platforms

Machine learning

API design

Strumenti

Docker

Kubernetes

Descrizione del lavoro

Data & AI Specialist at Kyndryl

Who We Are

At Kyndryl, we design, build, manage and modernize the mission‑critical technology systems that the world depends on every day. We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

As an AI & Data Engineer, you will build and operationalize scalable data and AI solutions by translating architectural designs into production‑ready systems. You will work on cloud‑native platforms, modern data infrastructures, and AI‑driven applications, including generative and agentic AI, supporting the full lifecycle from prototype to deployment.

Responsibilities

• Develop and maintain data pipelines and AI‑enabled services using cloud‑native technologies.
• Implement and integrate machine learning and LLM‑powered solutions within enterprise workflows.
• Contribute to real‑time and batch data architectures (data lakes, streaming platforms, event‑driven systems).
• Support MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.
• Collaborate with solution architects, data scientists, and software engineers to deliver MVPs and production solutions in fast, iterative cycles.
• Build secure, scalable APIs and services for AI and data applications.
• Contribute to containerized and orchestrated deployments (Docker, Kubernetes).
• Work in agile development environments, managing pull requests, code reviews, and CI/CD pipelines.

Your Impact

You will help organizations unlock the value of their data and AI by delivering reliable, scalable, and secure solutions. Your work will enable intelligent automation, real‑time insights, and AI‑driven decision‑making, contributing directly to business innovation and operational efficiency.

Who You Are

• A hands‑on engineer with a strong foundation in data engineering and applied AI.
• Curious, collaborative, and motivated to work in fast‑paced, evolving technical environments.
• Comfortable working across teams and communicating technical concepts clearly.
• Passionate about learning new technologies and contributing to AI‑driven innovation.
• Customer‑oriented and able to adapt solutions to real‑world business challenges.

Required Technical and Professional Expertise

• 2–3 years of experience in data engineering, software engineering, or AI engineering roles.
• Strong programming skills in Python; experience with C++, C#, or Rust is a plus.
• Experience with cloud platforms (AWS, Azure, GCP) and cloud‑native development.
• Hands‑on experience with data platforms (data lakes, data warehouses, streaming systems).
• Familiarity with distributed systems, concurrency, and asynchronous programming.
• Experience with containerization (Docker) and orchestration concepts.
• Knowledge of API design, authentication, and secure execution environments.
• Exposure to MLOps practices, model deployment, and monitoring.
• Familiarity with LLMs, generative AI, and agentic AI concepts.

Preferred Experience

• Experience with AI orchestration frameworks and agent‑based systems.
• Exposure to vector databases, semantic search, and retrieval‑augmented generation (RAG) patterns.
• Experience working in agile/startup‑like environments with rapid MVP delivery.
• Participation in digital transformation or AI‑native product development initiatives.
• Strong analytical and problem‑solving skills.

Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice.

What You Can Expect

With state‑of‑the‑art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well‑being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact’s Kyndryl email address.