AI/ML Engineer

3 days ago

Bucharest, Bucureşti, Romania INTELSOL Full time 40,000 - 80,000 per year

Client: IT Services Center

Office Location: Bucharest

Contract Duration: At least 12 months

Project No.:

General

We are looking for AI/ML Engineers to join our client team and contribute to design, development, and deployment of advanced machine learning systems that drive intelligent automation and data-driven decision-making across various industries.

Responsibilities/Activities
  • Collect, preprocess, and clean data sets for model training and evaluation
  • Design, train, and optimize machine learning and deep learning models for production use
  • Build scalable data and model pipelines and integrate models into production systems
  • Collaborate with software engineers and data teams to integrate AI components into business applications and APIs
  • Conduct model evaluation, tuning, and validation to ensure reliability, accuracy, and performance
  • Research and prototype emerging AI techniques (LLMs, multimodal learning, generative AI) to enhance solution capabilities
  • Monitor and maintain model performance and accuracy in production environments
Requirements
Technical
  • Several years of previous experience in a similar role
  • Strong programming skills in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn)
  • Proven experience with deep learning, natural language processing (NLP), or large language models (LLMs)
  • Working experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
  • Experience with data engineering workflows: ETL pipelines, feature stores, or distributed data systems
  • Knowledge of AI orchestration tools (LangChain, LlamaIndex, or similar) and model deployment at scale
  • Solid understanding of software engineering principles (version control, testing, CI/CD)
  • Good understanding of Agile/Scrum methodologies
Education
  • University degree in Computer Science, Data Science, or another related field
Others
  • Good level of English (oral and written)
  • Strong analytical and problem-solving skills
  • Ability to learn quickly and adapt to new technologies
  • Comfortable working under tight deadlines
Nice to have requirements
  • Experience with multi-agent systems or autonomous AI workflows (e.g., LangGraph, AutoGen)
  • Contributions to open-source AI projects or published research
  • Exposure to multimodal AI systems (text, image, or audio)

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