Senior AI & Machine Learning Engineer
Requirements at a glance
Senior AI & Machine Learning Engineer at Synergi is a full-time role. The posting asks for 5+ years of experience. It does not mention visa sponsorship. Key skills include Python, SQL, AWS, and Azure. Applications are submitted through BambooHR.
- Experience
- 5+ years
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- BambooHR
Skills in this posting
- Python
- SQL
- AWS
- Azure
- Google Cloud
- Docker
- Machine learning
- Generative AI
- PyTorch
- TensorFlow
Extracted automatically from the job description. Confirm details in the full posting below.
We are looking for a Senior AI & Machine Learning Engineer to design, develop, and deploy AI-powered solutions. You will build machine learning models, work with Large Language Models (LLMs), and develop scalable AI applications that support business growth and innovation. You will collaborate with cross-functional teams to bring AI solutions from idea to production.
Responsibilities
- Develop and deploy AI and machine learning solutions using Python
- Build, train, test, and improve machine learning models
- Work with large datasets to create predictive and intelligent applications
- Develop AI-powered features, including automation, recommendation systems, forecasting, and generative AI solutions
- Integrate AI models into production environments and business applications
- Collaborate with engineers, data teams, and stakeholders to understand requirements and deliver solutions
- Monitor model performance and continuously improve accuracy and reliability
- Support and mentor other engineers when needed
Requirements
- 5+ years of experience in AI, Machine Learning, or Data Science roles
- Strong Python programming skills
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Hands-on experience building and deploying machine learning models
- Experience working with Large Language Models (LLMs) and Generative AI tools
- Knowledge of SQL and data processing techniques
- Experience with cloud platforms such as Azure, AWS, or GCP
- Familiarity with Docker and modern software development practices
- Strong analytical and problem-solving skills
- Good communication and teamwork skills
Nice to Have
- Experience with RAG (Retrieval-Augmented Generation) solutions
- Experience with LangChain, Hugging Face, or similar AI frameworks
- Knowledge of MLOps, model monitoring, and CI/CD practices
- Cloud or AI-related certifications
- Experience working with enterprise AI applications
What we offer
- Full-time employment or contract-based agreement
For the Macedonia-based employees:
- Working from home possibility
- Private health insurance
- Monthly Gym membership
- Access to education and professional improvement
- Working with great people in a culture that supports both autonomy and collaboration
- Office perks: great location, modern equipment, unlimited coffee & tea, fruits, spacious lounge area
- Team-building activities