AI / Machine Learning Engineer – Generative AI & MLOps

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines – turning architectural concepts into production-grade solutions.

Job Description

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms
• Develop self-service tooling and microservices to simplify platform usage for other teams

Qualifications

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance
• Upper-Intermediate English level

WILL BE A PLUS

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling
• Familiarity with MLflow, Feature Stores, or ML platform integration

PERSONAL PROFILE

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

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

Join our Team as a Cloud Engineer!

Tasks
You will work across all phases of the software and cloud lifecycle and be part of an international Agile team.

• Design, develop, and deploy cloud-native applications and services on AWS.
• Build and maintain backend services using Java (e.g., Spring Boot or similar frameworks).
• Architect scalable, secure, and highly available solutions leveraging AWS services (e.g., EC2, S3, Lambda).
• Implement Infrastructure as Code
• Ensure system performance, security, and reliability following best practices and a Clean-Code mindset.
• Develop and/or maintain CI/CD pipelines for automated testing and deployment.
• Produce and maintain clear technical documentation and specifications to ensure long-term maintainability.
• Collaborate with developers, DevOps engineers, stakeholders, and project managers in international teams.
• Contribute to best practices, knowledge sharing, and continuous cloud optimization initiatives.

Requirements

• University degree in Computer Science, Engineering, or equivalent practical experience.
• At least 2 years of hands-on experience in cloud engineering, preferably with AWS.
• Strong development skills in Java and related frameworks (e.g., Spring Boot).
• Experience with cloud services and modern architecture patterns (microservices, serverless, event-driven systems).
• Solid understanding with CI/CD pipelines, DevOps practices, and Infrastructure as Code.
• Solid understanding of cloud security best practices.
• Frontend development knowledge is a plus.
• Strong consulting skills, including requirements engineering and stakeholder communication.
• Analytical mindset, flexibility, and excellent communication skills at all levels.
• Fluent English.

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