We are seeking a Machine Learning Engineer to design and deploy ML models, improve existing pipelines, and contribute to the company's data-driven strategy. The ideal candidate will have a passion for building intelligent systems and a solid understanding of supervised/unsupervised learning, deep learning, and NLP techniques. This role offers a great fit for someone who values autonomy, experimentation, and meaningful impact.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Undelucram.ro on behalf of:
Evolve Today
We are now looking for a Machine Learning Engineer passionate about building intelligent systems that solve real business challenges. In this role, you’ll design and deploy ML models end‑to‑end, improve existing pipelines, and contribute directly to the company’s data‑driven strategy. It’s a great fit for someone who values autonomy, experimentation, and meaningful impact.
We keep things simple and flexible: you can choose between CIM and B2B, and the working model adapts to your lifestyle. If you’re in Bucharest, you’ll join the team on-site twice a week; if you’re based elsewhere, you can work fully remote without missing out on team collaboration.
If you’re excited to shape intelligent solutions and drive innovation, we’d love to hear from you.
APPLY now and become part of a forward‑thinking engineering team.
Key Responsibilities
- Design, develop, and implement machine learning models and algorithms tailored to specific business needs.
- Perform data exploration, preprocessing, and feature engineering to prepare high‑quality training datasets.
- Collaborate closely with cross‑functional teams (Data, Engineering, Product) to translate business requirements into ML solutions.
- Optimize, fine‑tune, and scale models for performance, efficiency, and accuracy.
- Enhance and maintain ML pipelines and workflows across the organization.
- Document experiments, methodologies, and results to ensure reproducibility and compliance.
- Stay current with emerging ML/AI technologies, frameworks, and best practices.
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- At least 3 years of experience in a Machine Learning Engineer / ML Specialist role.
- Proven expertise in Python and hands‑on experience with ML frameworks such as TensorFlow, PyTorch, Scikit‑learn, or Keras.
- Hands‑on experience with ML frameworks such as TensorFlow, PyTorch, Scikit‑learn, and Keras.
- Solid understanding of supervised/unsupervised learning, deep learning, and NLP techniques.
- Strong background in data preprocessing, feature engineering, and model evaluation.
- Excellent analytical and problem‑solving abilities.
- Ability to communicate complex technical concepts clearly to non‑technical stakeholders.
- A collaborative mindset and the ability to work both independently and within a team.
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