Description

You will design, train, and implement machine learning models to solve complex business problems.

This role is on-site.

Responsibilities

• Build and enhance ML models through design, training, validation, and monitoring phases.
• Analyze large-scale numerical and textual data to identify trends and unlock insights.
• Partner with data engineers and visualization teams to deliver end-to-end projects.
• Develop data science solutions leveraging cloud computing infrastructure.
• Research and evaluate emerging technologies to improve model performance.

Required Skills

• 5+ years of professional experience in machine learning engineering.
• Strong proficiency in Python, Jupyter Notebook/Lab, and Visual Studio Code.
• Advanced SQL skills for large-scale data analysis.
• Deep understanding of statistical modeling and algorithms.
• Expertise in model design, training, validation, and monitoring.
• Experience with cloud computing infrastructure.
• Bachelor's degree in Computer Science, Mathematics, Physics, or Statistics.
• Ability to translate complex business problems into technical solutions.

Preferred Skills

• Experience with Natural Language Processing (NLP) and deep learning frameworks like TensorFlow or PyTorch.
• Knowledge of LLMs, Generative AI, and fine-tuning techniques.
• AI model optimization on GPU architecture using C++ and CUDA.

Key Skills

Education

Bachelor's degree in Computer Science