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Senior AI/ML Engineer – NLP and MLOps - Tieto Tech Consulting (m/f/d)
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationSofia, Bulgaria
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-05
Found viasmartrecruiters, direct from their system
We saw it 5 hours after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience level: Mid-Senior Level
Job Description
Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. With a strong heritage of Nordic quality, local presence, and global-scale operations, we are backed by 8,500+ IT professionals. Our clients trust us for advanced data and analytics skills, top industry-specific expertise, specialized software R&D, and the capabilities of a multinational team. We are part of Tieto, a leading technology company with an annual revenue of approximately EUR 2bn.    
Tieto Tech Consulting’s team in Bulgaria consists of 500+ professionals specializing in the development of tailored digital solutions in diverse industries. 
We are seeking a Senior AI/ML Engineer with strong experience in natural language processing and production engineering. You will help develop and integrate services for information processing and extraction, using modern and classical NLP techniques. Working with product, data science and engineering teams, you will contribute to reliable cloud-based solutions and support their full lifecycle from development through deployment and operation.
Key responsibilities
Design, develop and maintain production-grade AI/ML services for information processing and extraction
Apply classical and modern NLP methods to address product and user needs
Build and integrate services using AWS cloud capabilities, including serverless and event-driven architectures
Contribute to DevOps practices and automation for reliable deployment and operation
Implement and improve MLOps workflows for model training, evaluation, deployment, monitoring and maintenance
Support model and data lifecycle management, including data preparation, versioning, quality and traceability
Explore and apply multi-agent systems where they provide value to product capabilities or engineering workflows
Collaborate with product, data science, architecture and engineering teams to turn requirements into maintainable solutions
Contribute to technical design discussions, code reviews, testing, documentation and continuous improvement
Required experience & qualifications 
Professional experience engineering and operating production software systems
Hands-on experience with natural language processing, including classical and modern approaches
Experience with information processing, information extraction or related data-intensive solutions
Strong experience with AWS services and cloud-native engineering
Experience with DevOps practices, CI/CD and automation for production workloads
Experience with serverless and event-driven architectures
Experience with MLOps and deploying or operating machine learning models in production
Understanding of the model and data lifecycle, from preparation and validation through deployment, monitoring and maintenance
Excellent spoken and written English language skills
A significant advantage would be
Experience designing or working with multi-agent systems
Experience building AI/ML capabilities for digital health, life sciences or other regulated products
Familiarity with model observability, evaluation, governance or responsible AI practices
Experience with Python and common machine learning or NLP frameworks
 
Additional Information
At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.
Diversity, equity and inclusion | Sustainability | Tieto
Stay alert to recruitment scams:
• Tieto only communicates via  @tieto.com  email addresses.
• We never ask candidates to pay fees or share financial details during recruitment.
• If you receive a suspicious message claiming to be from Tieto, don't respond — verify it via our official careers site.
• For more information visit  Important Advisory Regarding Recruitment Fraud | Tieto Blog
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