Machine Learning Engineer

Key Responsibilities

• Develop, train, and optimize Machine Learning (ML) models for predictive analytics and decision-making.
• Design and implement ML algorithms to solve complex business problems.
• Analyze large-scale datasets to extract meaningful insights and identify trends.
• Prototype innovative ideas and develop statistical models for data-driven decision-making.
• Collaborate with cross-functional teams, including Engineers and Product Managers, to deploy scalable ML solutions.
• Implement MLOps practices to ensure seamless integration, deployment, and continuous monitoring of ML models.
• Work with Computer Vision technologies for tasks such as image classification, object detection, and video analytics.
• Stay updated with the latest ML trends and continuously enhance the model pipelines

What We Offer

• Competitive salary
• Clean and light office with all needed conditions and sea view
• Medical Insurance
• Lunch is provided by company
• Friday is remote day
• Innovative and collaborative work environment with opportunities for professional growth
• Challenging ML projects using the latest AI and ML technologies
• Access to cutting-edge tools and platforms for building impactful solutions

Requirements:

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field (Master’s preferred).
• Minimum of 1+ years of hands-on experience in Machine Learning Engineering or relevant roles.
• Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and OpenCV.
• Strong understanding of ML algorithms, including supervised, unsupervised, and deep learning models.
• Experience with MLOps tools (e.g., MLflow, Kubeflow, Docker) and CI/CD pipelines.
• Solid knowledge of data storage technologies, including SQL and NoSQL databases.
• Strong communication and collaboration skills to work effectively with both technical and non-technical stakeholders.
• Fluency in Azerbaijani and English is mandatory.