Senior Data Engineer

• THE DIGITAL EVOLUTION COMPANY OF TODAY AND TOMORROW

Progettiamo soluzioni end-to-end per la
Digital Evolution
gestendone ogni area, grazie alle nostre sei anime tecnologiche: Lutech
Consulting
, Lutech
Solutions
, Lutech
Digital
, Lutech
Cybersecurity
, Lutech
Services
e Lutech
Cloud
.

Siamo motivati da una passione inesauribile per l’innovazione e una forte determinazione a superare limiti e ostacoli perché il fulcro di ogni nostro successo sono
le nostre persone
.

In Lutech potrai operare all’interno di una vera
community tecnologica
, che contribuirai a far crescere e a migliorare con le tue competenze. Troverai un ambiente
inclusivo
e
informale
in cui nessuno è un numero e tutti siamo un valore. Diamo importanza alla diversità riconoscendo che la forza di un team risiede nelle esperienze, prospettive e background unici che ogni persona porta con sé.

Posizione:

Siamo alla ricerca di un/una AI / Machine Learning Engineer
da inserire nel nostro team di Delivery, con l’obiettivo di sviluppare e portare in produzione soluzioni innovative basate su
Artificial Intelligence, Machine Learning e Generative AI
a supporto dei progetti dei nostri clienti.

La risorsa sarà coinvolta nell’intero ciclo di vita delle soluzioni AI: dalla fase di analisi ed esplorazione dei dati fino al deployment e al monitoraggio dei modelli in ambiente produttivo, contribuendo alla realizzazione di sistemi scalabili, affidabili e integrati nei contesti enterprise.

Responsabilità:
La risorsa si occuperà di:

• Sviluppare e mettere in produzione modelli di Machine Learning e Generative AI applicati a casi d’uso reali per clienti enterprise.
• Gestire l’intero ciclo di vita del modello: data analysis, data preparation, feature engineering, training, valutazione e ottimizzazione.
• Progettare e implementare pipeline dati e componenti applicativi per integrare soluzioni AI nei sistemi aziendali.
• Sviluppare servizi e API a supporto delle applicazioni basate su AI.
• Lavorare su soluzioni di Generative AI, inclusi LLM, RAG (Retrieval Augmented Generation), embeddings e sistemi conversazionali intelligenti.
• Collaborare con gli architetti di riferimento nella definizione delle soluzioni tecniche.
• Garantire qualità del codice attraverso attività di testing, documentazione e utilizzo di best practice di sviluppo.
• Applicare metodologie MLOps per automatizzare training, deployment, monitoraggio e gestione dei modelli in produzione.
• Operare in autonomia sulle attività assegnate, collaborando con team multidisciplinari di progetto.

Requisiti:

Requisiti:

• Solida esperienza nello sviluppo con Python e conoscenza dei principali framework di Machine Learning e Deep Learning (scikit-learn, PyTorch, TensorFlow).
• Esperienza in ambito Data Science e Generative AI, con conoscenza di tecniche come analisi dati, feature engineering, LLM, RAG ed embeddings.
• Conoscenza di metodologie e strumenti MLOps per il ciclo di vita dei modelli AI.
• Esperienza nello sviluppo di pipeline dati e servizi applicativi tramite API.
• Familiarità con ambienti cloud (preferibilmente GCP e/o Azure) e tecnologie come BigQuery, Vertex AI o servizi AI equivalenti.
• Conoscenza di strumenti di sviluppo come SQL, Git e Docker.

Altre informazioni:

Lutech promuove una cultura fondata sulle pari opportunità e valorizza la diversità in tutte le sue forme. Tutte le candidature saranno valutate esclusivamente sulla base delle competenze, dell'esperienza e del potenziale, senza alcuna discriminazione legata a razza, religione o convinzioni personali, origine etnica o nazionale, disabilità, età, cittadinanza, stato civile (incluse convivenza di fatto e unione civile), orientamento sessuale, identità o espressione di genere, o qualsiasi altra condizione tutelata dalla normativa vigente.

Description & Requirements
Who we are looking for
We are seeking an AI Specialist with strong expertise in Generative AI, Agentic AI, machine learning, and cloud-native engineering to design, develop, deploy, and continuously improve intelligent solutions that address real business needs.💻

📊📄The role combines hands-on AI engineering, data and model pipeline development, agentic workflow orchestration, responsible AI controls, and close collaboration with product owners, technical teams, and business stakeholders across the full solution lifecycle.

• Bachelor’s degree in
  Computer Science, Information Systems, Engineering, Data Science, Artificial Intelligence
  , or a related field; an advanced degree is preferred.
• Minimum of
  5 years of experience
  in data engineering, artificial intelligence development, machine learning engineering, or cloud-native software engineering.
• Proven experience designing, developing, and deploying AI agents, machine learning models, data pipelines, or end-to-end AI solutions in production environments.
• Hands-on experience with
  Python and relevant AI
  , machine learning, and data engineering libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn.
• Experience with Generative AI and large language model solutions, including prompt engineering, retrieval-augmented generation, tool calling, evaluation, and model performance optimization.
• Experience with agentic AI frameworks, workflow orchestration, API integration, memory patterns, and multi-step automation; knowledge of agent-to-agent communication patterns is an advantage.
• Experience building
  REST APIs
  , cloud-native microservices, and integration solutions using technologies such as J
  ava, Spring Boot, SOAP, REST, and JSON.
• Good understanding of
  Docker, Kubernetes, CI/CD tools, GitHub, Jenkins,
  and release management practices.
• Experience with at least one major cloud platform, such as
  Azure, AWS, or Google Cloud Platform,
  including AI, machine learning, data, and security services. Being certified is considered a plus.
• Knowledge of responsible AI, data privacy, cloud security, model governance, testing, observability, and production support practices.
• Nice to have: experience using Cursor or similar AI-assisted development environments, and working with MCP servers for tool integration, context sharing, or agentic workflow enablement.
• Proficiency in written and spoken English.

Your future role

• Design, develop, and integrate AI solutions
  , including Generative AI models, large language models, multimodal models, machine learning models, and advanced analytics capabilities.
• Build and orchestrate agentic AI workflows
  , including single-agent and multi-agent patterns, tool use, memory, retrieval-augmented generation, and workflow automation.
• Translate business requirements into technical solutions
  by working closely with product owners, business units, engineers, data scientists, and client stakeholders.
• Develop scalable AI and data pipelines,
  including data preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Implement AI-enabled automation
  for use cases such as document processing, case summarization, content generation, decision support, and workflow orchestration.
• Deploy and operate AI services in cloud-native or containerized environments, including
  Azure, AWS, Google Cloud Platform, Docker, Kubernetes, and CI/CD-enabled platforms.
• Ensure responsible and secure AI delivery
  by applying privacy, security, compliance, prompt injection defense, data protection, PII redaction, testing, and model governance practices.
• Monitor, troubleshoot, and optimize AI applications using observability, performance monitoring, incident management, defect resolution, and production support processes.
• Support t
  he full development lifecycle
  , including prototyping, functional and non-functional testing, release preparation, production deployment, documentation, and knowledge sharing.
• Contribute to agile delivery
  through sprint planning, daily stand-ups, backlog refinement, progress reporting, and continuous collaboration with cross-functional teams.

What we offer
🌟 Why Deloitte?

At Deloitte, we believe
great people build great organizations
. That’s why we offer:

• Competitive salary and benefits package.
• Flexible and hybrid work model.
• Unlimited access to worldwide esteemed digital learning platforms as per individual needs and curiosity, in addition to classroom trainings.
• Personal development and constant growth.
• Career pathway and opportunity to constantly grow.
• Dynamic and international work environment and team spirit.
• Complete Private Health/Travel Insurance.
• Employee assistance program, available to you and your immediate family members 24 hours a day, 7 days a week, 365 days a year, covering legal, financial and mental health advisory services.

Selection process
Ready to take the next step?

🚀 Recruitment Journey

• HR Interview – Let's get to know each other and explore your experience and career goals.
• Technical Interview – Meet the hiring team and learn more about the role.
• Meeting the Partner - Additional interview.
• Onboarding - Begin your Deloitte journey with the support, training, and resources you need to succeed from day one.

About Deloitte
Deloitte is a multinational professional services network with offices in over 150 countries and territories around the world. It is one of the Big Four accounting firms and the largest professional. The organization is recognized among “World’s Best Workplaces™” by Great Place to Work® and Fortune and among a “World’s Most Attractive Employers”, by Universum, according to 2020 surveys.
Deloitte Albania | A career built around you.
With more than 500 professionals, Deloitte in Albania is providing services in audit, tax, financial advisory, and technology services and other related services.
About the team
Our teams have the depth of professional experience you need to help design or transform your business. Drawing on the full breadth of Deloitte’s Global insight and Capabilities, we will support you with the Solutions you need, including:

• Business design & configuration.
• Scenario stimulation.
• Technology/AI strategy.
• Innovations & Ventures advisory.
• Organic and inorganic growth strategy.
• Economics advisory.
• Strategic transformation.
• Organizational change Solutions and more.

We have helped some of the world’s most complex organisations transform and grow their businesses.
So, whether you are launching a new venture or transforming an established business, make Deloitte your trusted advisor to help reignite your company’s future.
Ç1

MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment.

What is your new project?:

Domain: eLearning

Location: California, USA

Company size: 11-50

Founded in: 2019

What makes this project exciting?:

Our client offers a modern compliance and eLearning platform designed to help organizations build safer, more inclusive, and productive work environments. The platform features a comprehensive library of interactive courses - covering harassment prevention, diversity and inclusion, safety, ethics, and security awareness - that are mobile-friendly and focused on achieving meaningful learning outcomes rather than just completion. It also provides advanced capabilities such as AI-assisted course creation, structured learning paths, real-time analytics, automated tracking and notifications, and adaptable LMS tools to meet organization-specific training requirements. The result is a flexible, engaging, and scalable solution that empowers teams while streamlining compliance management across industries.

Explore the open roles below and take the next step in your career!

What Makes You a Great Fit

• 7+ years of experience building customer-facing web applications using Ruby on Rails
• Strong experience in React
• Experience designing and building RESTful APIs and working with relational databases
• Comfort owning projects from concept through production, including making architectural trade-offs
• Track record of raising the bar for the team - through mentorship, code quality, or process improvements
• Experience with CI/CD pipelines, infrastructure-as-code, or cloud platforms (AWS preferred)
• Responsive design, accessibility standards, and cross-browser compatibility experience
• Experience with observability tooling (logging, monitoring, alerting)
• Strong written and verbal communication skills in English
• Willingness to work US timezone hours for team collaboration

Preferred Qualifications

• Experience integrating LLMs or AI/ML services into production applications
• Experience with A/B testing, personalization, or data-driven content customization
• Background in a startup or high-growth environment
• Familiarity with compliance, security awareness, or ed-tech domains.

Your Day-to-day In This Position

• Own features end-to-end: scope the technical approach, build across frontend and backend, and ship to production
• Design and maintain APIs, data models, and backend services that are reliable and performant
• Build polished, accessible frontend experiences with attention to UI/UX details
• Build and integrate AI-powered features - from personalized learningexperiences to intelligent compliance tooling - from prototype to production
• Use AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate your work and help the team adopt effective AI tooling
• Instrument analytics and use data to guide product and engineering decisions
• Collaborate closely with product, design, and other engineers to deliver on key initiatives
• Identify and resolve performance bottlenecks, technical debt, and reliability issues
• Mentor other engineers through code review, pairing, and architectural guidance

Our Next Steps
✅ Intro call with a Recruiter — ✅ Screen interview with the client — ✅ Coding Assessment — ✅ System Design — ✅ Final interview— ✅ Offer

Description & Requirements
Who we are looking for
As
IT Solution Designer / Solution Architect
(Inhouse) you work across all layers of IT to ensure new solutions, IT assets and services are introduced sustainably and securely - thereby driving the digital transformation of our businesses.

• Degree in Computer Science or a similar relevant field of studies or completed vocational training as well as several years of relevant on-the-job experience
• Knowledge e.g. of IT infrastructure, application management, databases, cloud, network, security, IAM, monitoring or other areas and proficiency at picking up new concepts and technology at a rapid pace
• Experience in structuring, presenting and communicating your work results with stakeholders at all levels
• Very strong ownership of your priorities, work structure and task management
• Proficiency in English, German would be an optional valuable skill

Your future role

• Design: You create the architecture for our digital services to ensure compliance with our policies and the fit into the Deloitte environment - looking at hosting, network, user access, data retention and all other aspects of solution design including those of sustainable operations.
• Analyze: Design patterns, suppliers, products - you consider their effectiveness in addressing our functional as well as quality requirements in close collaboration with stakeholders.
• Plan: During your projects, you create estimates for effort as well as implementation plans, closely aligned with our project managers.
• Lead: Together with your project team, you act as the technical sub-project lead, responsible for coordinating and driving implementation together with subject matter experts and operations teams.
• Share: You create the documentation and architectural views for your solution designs according to best-practice and present your work results to your stakeholders and peers to meet our internal standards and policies.

What we offer

• Stable job in multinational company based on employment contract;
• Working in flexible hybrid model - partially from home and the office;
• Great opportunity for professional development;
• Structured onboarding process and Buddy program for new joiners;
• Open and friendly organizational culture based on the pillars of well-being and diversity & inclusion.

Selection process
Apply and create your future with us!

If your resume is of interest to us, the recruitment will consist of several stages:

• Short online interview / short phone interview with Recruiter.
• Interview/s with member/s of the team.

You will receive feedback regardless of process result.