Diconium is looking for a Machine Learning Engineer to join our team. You will be responsible for developing, optimizing, and deploying advanced machine learning and NLP models, including generative AI solutions. This role involves working with AWS AI services, Python ML frameworks, and APIs to deliver high-quality, production-ready AI components for business applications.
What You'll Do
- Develop and fine-tune machine learning and NLP models for various analytical and automation use cases.
- Design and implement generative AI solutions, including prompt engineering, evaluation, and integration of foundation models.
- Deploy generative AI and ML models via APIs for use in PowerApps, dashboards, and other business applications.
- 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 We're Looking For
- 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.
- Experience designing, developing, and deploying RESTful APIs for model integration with business applications.
- Ability to translate analytical insights into actionable business recommendations.
- Strong communication skills and the ability to work collaboratively with engineering, product, and business stakeholders.
Nice to Have
- Experience with vector databases or RAG pipelines.
Technical Stack
- AWS AI services
- Python
- spaCy
- PyTorch
- Scikit-learn
- HuggingFace Transformers
- RESTful APIs
Team & Environment
You'll join a community of over 2,300 fellow experts at Diconium.
Benefits & Compensation
- Professional & Personal Growth: Develop yourself 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.
Work Mode
This role follows a hybrid work model.
At Diconium, we value and recognize the unique perspectives and experiences of each individual. We welcome every application equally and 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.
