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Senior AI/ML Engineer – NLP and MLOps - Tieto Tech Consulting (m/f/d)

MentorMate·Salary not specified

Primary stack

DevOpsNLPAWSCI/CD

Nice to have's

multi-agent systemsdigital healthlife sciencesmodel observabilityevaluationgovernanceresponsible AI practicesPythonmachine learning frameworksNLP frameworks

Job description

About the Position

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.

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

Requirements

  • 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

Nice to Have

  • 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

We Offer

  • Opportunity to work in a dynamic and innovative environment
  • Be part of a leading technology company with a global presence
  • Competitive salary and benefits package
  • Professional growth and development opportunities

About the Company

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.

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

© MentorMate. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

МentorMate offers career opportunities across various software domains, ranging from development and testing, data analysis and optimization, to design and architecture of diverse enterprise solutions. Additionally, it involves working on exciting projects that improve the lives of millions worldwide. Guided by a people-centric approach, MentorMate provides a clearly defined career framework, diverse training programs, a flexible work model, and a culture based on authenticity, mutual support, and respect. On a global scale, MentorMate has offices in Sofia, Plovdiv, Varna, Veliko Tarnovo, Ruse (Bulgaria), Minneapolis (USA), Gothenburg (Sweden), and Asuncion (Paraguay), with specialists working from every corner of the world.As part of the global technology company Tietoevry Create, MentorMate enables people to work on impactful, global projects for recognizable brands and grow their careers in a team of over 10,000

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