We are seeking a Machine Learning / AI Engineer who bridges data engineering and front-end systems. The ideal candidate is skilled in structuring data pipelines, training ML models, and integrating outputs into interactive user interfaces.
Key Responsibilities:
• Design and implement ML/AI models for real-time decision-making.
• Collaborate with data engineers to prepare and structure large-scale datasets.
• Integrate ML results into front-end applications for visualization and interaction.
• Deploy, monitor, and optimize ML models in production.
• Work with cross-functional teams to define data-driven product strategies.
• Ensure reproducibility, version control, and thorough documentation of ML workflows.
Skills and Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
• 3+ years of experience in machine learning or data engineering.
• Strong experience with Agentic Frameworks like LangGraph, Crew AI, and Llama Index, important for this client’s agentic application.
• Proficient in Python and data manipulation libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Experience with AWS services and Lambda-based deployments.
• Familiarity with front-end data visualization or React integration is a strong plus.
• Excellent English communication and collaboration skills; C1 English Level.
