Job description
Dreаmix was founded 18 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.
We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.
We are seeking a talented and motivated Senior AI Engineer to join our team. The person will play a key role in designing, implementing, and maintaining AI solutions that create business value and enhance user experiences.
Responsibilities:
- Lead the design, development, and deployment of advanced AI and GenAI systems to address complex business challenges
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions and actionable insights
- Work closely with software developers to integrate AI and data-driven modules into larger software solutions, ensuring seamless functionality and performance
- Mentor and guide junior data scientists and engineers, promoting best practices in AI/ML development
- Conduct comprehensive data analysis and model validation to ensure the robustness, reliability, and scalability of AI/ML solutions
- Communicate complex technical concepts and results to non-technical stakeholders clearly and persuasively, facilitating informed decision-making
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- 4-5 years of experience in data science, machine learning, AI engineering, or software development, with a proven track record of deploying machine learning models and AI solutions in production environments
- Proficiency in Python, including frameworks and packages such as numpy, pandas, Scikit-learn, TensorFlow, PyTorch, Spacy, LangChain, and LlamaIndex
- Experience with GenAI techniques, including embeddings, vector databases, RAG, CoT/ToT, and LLMs (commercial like Anthropic, OpenAI, and non-commercial like Llama)
- Strong understanding of ML algorithms (e.g., XGBoost), feature selection, resampling, and optimization techniques
- Experience in applying ML for classification, document parsing, customer segmentation, and predictive analytics
- Hands-on with cloud computing platforms like Azure or AWS
- Familiarity with containerization and orchestration tools like Docker and Kubernetes
- Proficient in written and spoken English
What you’ll get:
- A warm and supportive work environment where you can reach your full potential
- Flexible working hours that allow you to balance your work and personal life
- Unlimited home office to help you stay productive and focused
- Opportunities for professional development, including certifications and training
- Additional benefits for academic teaching and speaking engagements
- Knowledge-sharing sessions where you can learn from our Dreamix team
- Team and company-wide events that bring us together
- Amazing week long summer office and winter office initiatives
- Additional health insurance and dental allowance to ensure your well-being
- Multisport card to encourage a healthy and active lifestyle
- Office massages to help you relax and unwind
If you are interested in the opportunity, send us your CV!
Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!
By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.
