AI / ML Scientist

Job Description

• Build, train, and deploy machine learning models to address key business challenges.
• Apply advanced deep learning techniques—including NLP, computer vision, and recommendation systems—using frameworks such as TensorFlow and PyTorch .
• Design and develop scalable, end-to-end AI pipelines, from data preprocessing to production deployment.
• Leverage generative AI and large language models (e.g., transformers, embedding) to deliver innovative solutions.
• Partner with product and engineering teams to integrate AI capabilities into business workflows seamlessly.
• Clearly communicate model results and insights to both technical and non-technical stakeholders.
• Proven experience in data science or applied machine learning
• Analytical-minded, proactive, and results-driven.
• Excellent communicator with the ability to simplify complex ideas for any audience.
• Quick to learn, creative in problem solving, and takes ownership.
• Takes ownership, is self-motivated, and thrives in a fast-paced environment.

Requirements

Experience with generative AI and large language models (e.g., transformers, embedding).

Benefits

Requirements

2–4 years of hands-on experience in data science or applied machine learning. Proficiency in Python and key machine learning libraries such as scikit-learn, XGBoost, and Hugging Face. Strong skills in data wrangling, feature engineering, and model evaluation. Experience with generative AI and large language models (e.g., transformers, embedding). Ability to build scalable end-to-end AI pipelines. Experience with cloud-based ML platforms (AWS, GCP, or Azure). Ability to stay current with emerging AI / ML trends and apply new techniques to solve real-world problems