Machine Learning Engineer (All genders)

At Diconium, we do digital business transformation across various industries. As a team member, you will work on projects that generate value from software, data, and AI by delivering strategies and solutions that challenge conventional industry practices and drive technological progress. Together with over 2,300 fellow experts, you enable Fortune 500 firms, global market leaders, and SMEs to maximize the impact of their digital initiatives and achieve digital excellence. In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. And we give you maximum flexibility thanks to our hybrid workplace.

Role Description

The machine learning engineer is responsible for developing, optimizing, and deploying advanced machine learning and NLP models, including generative AI solutions. The role involves working with AWS AI services, Python ML frameworks, and APIs to deliver high quality, production-ready AI components for business applications such as PowerApps and dashboards.

What You Can Expect

• Understand, clean, transform and enhance data to match future model development and business logic.
• Develop and finetune machine learning and NLP models for various analytical and automation use cases.
• Integrate generative AI solutions and foundational model. Create and optimize prompts. Propose and implement evaluation strategies for Gen AI models.
• Build and maintain APIs that enable seamless model integration with downstream systems.
• Translate complex analytical results into actionable insights and business recommendations.
• Collaborate with cross-functional teams to align AI solutions with product and business requirements.

WHAT YOU BRING ALONG

• Mid-level experience (typically 3–5 years) in developing, fine‑tuning, and deploying machine learning and NLP models.
• High proficiency in Python programming, with strong ability to write clean, efficient, production‑ready code.
• Proven hands‑on expertise in generative AI, including foundation models, prompt design, and model evaluation.
• Solid experience with Python ML/NLP libraries such as spaCy, PyTorch, Scikit‑learn, and optionally HuggingFace Transformers.
• Ability to translate analytical insights into actionable business recommendations.
• Strong communication skills and the ability to work collaboratively with engineering, product, and business stakeholders.

• Experience with vector databases or RAG pipelines.
• Familiarity with MLOps tools (SageMaker, MLflow, Kubeflow, etc.).
• Experience integrating AI models within PowerApps or Power Platform solutions.
• Understanding responsible AI principles, evaluation, and model safety.
• Experience designing, developing, and deploying RESTful APIs for model integration with business applications.

Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits!

Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.

Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.

Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.

Comprehensive Benefits: Enjoy public transport tickets, job bikes, health offers, supplementary insurances, a pension plan and various discounts.

What We Value

At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.

If you have any questions, feel free to reach out.

Your contact person is

Elena, [email protected]