Job Description

• Data Scientist in Supply chain domain
• Must have: Strong understanding of AI/ML concepts, algorithms (Decision Trees, Random Forest, Deep learning, etc.), and techniques.
• Understanding of model suitability for different problems.
• Good hands on experience in AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit learn) along with proficiency in a programming language.
• Proficiency in Gen AI technologies and their components such as LLMs, Orchestrating frameworks like (e.g. LangChain/LlamaIndex ), Prompt Engineering, Guradrails etc.
• Experience with end to end model creation lifecycle activities, including data preprocessing, feature engineering, model development / training, model tuning, model evaluation, deployment, and data visualization.
• Strong analytical and problem solving skills, with the ability to analyze complex datasets and extract actionable insights.
• Familiarity with at least one cloud platform / hyper scaler (e.g., GCP, Azure, AWS).
• Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies.
• Excellent communication and collaboration skills to work effectively in cross functional teams.
• Strong organizational and time management skills, with the ability to prioritize 10+ years of experience