Senior AI & Machine Learning Engineer

Job not on LinkedIn

🕒 September 11

🇲🇰 North Macedonia – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

Where this job comes from

Posted on Synergi's careers page, not through a job board

First seen by Remote Rocketship September 11

Logo of Synergi

Synergi

2 - 10 employees

Founded 2019

🎯 Recruiter

💼 Consulting

🏥 Healthcare

Recruitment • Consulting • Healthcare

Synergi is a MENA-based recruitment and HR advisory firm that delivers executive search, recruitment, leadership and career coaching, HR consulting and salary survey services. The firm works across the GCC and internationally, taking a tailored approach to candidate assessment and placements and emphasizing specialist sector knowledge—particularly in Life Sciences & Healthcare, Finance, Private Equity and Insurance—while supporting both clients and candidates through hiring, onboarding and career transitions.

📋 Description

• Design, develop, and deploy AI-powered solutions • 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 • 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

🏖️ Benefits

• 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

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