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Solita

Digital transformation, data analytics, cloud services

Forward Deployed Engineer - AI/ML

AI Application EngineeringUpdated on Nov 10
Full-time€6.5k - €7.2k /mo

About the Job

Requirements

  • Hands-on experience designing, building, deploying, and operating AI/ML solutions in production environments.
  • Strong understanding of modern AI/ML technologies and the ability to choose the most appropriate approach for a given problem.
  • Experience in one or more of machine learning, optimization, computer vision, large language model applications, or agentic systems.
  • Experience evaluating AI/ML systems and applying engineering practices such as testing, monitoring, continuous integration and continuous delivery, MLOps/LLMOps, and guardrails.
  • Strong Python skills and solid software engineering fundamentals.
  • Experience using AI-assisted development tools such as Claude Code, Cursor, Codex, or GitHub Copilot, and the ability to review, debug, and improve generated code.
  • Understanding of the data, cloud, and platform foundations required for scalable AI/ML solutions, including experience with technologies such as AWS, Azure, GCP, Databricks, Azure AI services, or Snowflake.
  • Ability to translate business challenges into technical solutions, work with ambiguity, collaborate directly with customers, and communicate technical trade-offs to business and technology stakeholders.
  • Fluent communication skills in English.

Responsibilities

  • Collaborate with customer domain experts to identify high-value AI/ML opportunities, define measurable success criteria, and validate where AI can create meaningful business impact.
  • Turn ambiguous business challenges into concrete solution approaches, rapidly test ideas, and take the most promising use cases from exploration into production.
  • Design, build, and integrate production-grade AI/ML solutions using approaches such as machine learning, optimization, computer vision, large language models, or intelligent agents, depending on the problem.
  • Establish engineering practices for reliable AI/ML in production, including evaluation, testing, monitoring, continuous integration and continuous delivery, and code review.
  • Deploy, operate, and continuously improve AI/ML solutions; investigate unexpected behavior, performance issues, or poor results and address their root causes.
  • Make pragmatic technical decisions around architecture, scalability, security, reliability, cost, and responsible AI, and communicate trade-offs to business and technical stakeholders.
  • Work with account leadership and sales to identify opportunities to expand initial engagements, bringing in appropriate Solita experts across AI, data, software, design, and cloud as customer needs evolve.

Desired Qualifications

  • Experience with infrastructure as code and cloud-native architectures for AI/ML solutions.
  • Experience designing AI-enabled business processes, agent architectures, or human-in-the-loop workflows.
  • Experience with responsible AI, privacy, security, or governance considerations in production AI/ML systems.
  • Finnish language skills.

About the Company

Solita

Digital transformation, data analytics, cloud services

Solita helps private and public sector organizations transform how they operate through technology, data, and design. It offers strategic consulting, service design, software development, data analytics, AI, and managed cloud services, and it works by forming long-term partnerships that move projects from concept to deployment and continuous improvement, using major cloud platforms like Azure, Google Cloud, and AWS. The company differentiates itself with end-to-end, long-term engagements across multiple industries and a strong track record in large public-sector projects, supported by its international reach and growth through strategic acquisitions. Solita’s goal is to help clients create new competitive advantages and reinvent themselves through practical, data-driven technology solutions and ongoing evolution.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$3.6M
Headquarters
Helsinki, Finland
Founded
1996

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