Zebra | Data Scientist – AI/ML & LLM Specialist (0–2 Years Experience)

Overview

Join a pioneering team at the forefront of Artificial Intelligence and Machine Learning innovation. We are looking for a Data Scientist with 0–2 years of experience who brings a strong foundation in data science, model development, and modern machine learning practices including LLMs, MLOps, and data engineering workflows. This role is ideal for recent graduates or early-career professionals eager to solve real-world problems through advanced analytics and predictive modeling.

Job Description :-

Key Responsibilities

• Implement ML/AI Models: Design, develop, and deploy ML models including AutoML, NLP, Computer Vision, and LLMs to solve real-life business problems.
• Develop Analytics Tools: Create tools for analyzing, visualizing, and interpreting large-scale structured and unstructured datasets.
• Feature Engineering: Apply statistical techniques and feature transformation methods to refine model input for enhanced predictions.
• Collaborate with Cross-Functional Teams: Work closely with product managers, developers, and business leaders to gather requirements and deliver data-driven insights.
• Data Strategy and Optimization: Improve data collection methods and recommend strategies to optimize model training pipelines.
• Cloud & MLOps Deployment: Deploy and manage models in cloud environments (AWS, Azure, GCP) using MLOps tools like Docker, Kubernetes, Airflow, and Vertex AI.
• Communicate Insights: Translate complex ML outcomes into actionable insights for stakeholders via BI tools and data visualization libraries.

Technical Skills & Expertise

• Programming & Frameworks: Proficient in Python, with hands-on experience in TensorFlow, PyTorch, and AutoML tools.
• LLM Knowledge: Experience in training, fine-tuning, and deploying LLMs; familiarity with open-weight model architectures and techniques such as hyperparameter tuning and model distillation.
• Data Engineering: Strong understanding of SQL, Azure Data Factory (ADF), data pipelines, and feature stores.
• Big Data Tools: Working knowledge of Hadoop, Spark, and Cassandra is a plus.
• Visualization Tools: Experience with R, Tableau, Power BI, or similar platforms.

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field.
• 0–2 years of professional or academic experience in AI/ML, data science, or IoT applications.
• Excellent communication skills, with the ability to present technical concepts to non-technical audiences, including CxO-level executives.
• Strong problem-solving skills and a proactive mindset.
• Comfortable working independently and collaboratively in a fast-paced, innovative environment.

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Work & Environment Details

• Work Mode: Hybrid (70% remote with 2–3 days onsite visits per week).
• Travel Requirements: Less than 10%.
• PPE Requirements: None.
• Work Type: Sedentary (primarily seated/standing).