Zebra | Data Scientist – AI/ML, LLM, MLOps & Data Engineering

Join Our Team as a Data Scientist – Build Intelligent, Scalable AI Solutions

We are looking for an innovative and technically skilled Data Scientist who will be responsible for developing and implementing AI/ML solutions, working on agentic workflows, LLMs, and statistical models to solve complex business problems. This is an exciting opportunity to work with structured and unstructured big data across diverse industries, including IoT and mobile technology.

Job Description :-

Company:	Zebra
Job Role:	Data Scientist
Batches:	2021-2025
Degree:	Bachelor’s/Master’s/Ph.D.
Experience:	Freshers(0-2yrs)
Location:	Bangalore, INDIA
CTC/Salary:	INR 6-15 LPA (Expected)

Key Responsibilities:

• Design, develop, and deploy machine learning models, AI algorithms, and AutoML pipelines using frameworks such as TensorFlow and PyTorch.
• Implement LLM-based solutions using open-weight architectures including fine-tuning, distillation, and hyperparameter optimization.
• Work on Agentic AI workflows and build intelligent systems that drive automation and predictive analytics.
• Build and maintain robust data pipelines using tools like Airflow, Azure Data Factory (ADF), and Kubeflow.
• Engineer features, perform data wrangling, and analyze sensor, IoT, and telemetry data to generate business insights and foresights.
• Collaborate with cross-functional teams to identify AI opportunities, define data collection strategies, and translate findings into actionable product or business improvements.
• Create interactive data visualizations and dashboards using BI tools to communicate results clearly to stakeholders.
• Stay updated with the latest advancements in MLOps, AI/ML trends, and implement best practices in data science projects.
• Ensure scalable deployment of models in cloud environments like AWS, Azure (Google Vertex AI) using Docker/Kubernetes.
• Present models, insights, and forecasts to product managers, stakeholders, and C-level executives effectively.

Required Skills & Experience:

• 0–2 years of relevant experience in AI/ML, data science, or analytics.
• Proficiency in Python, SQL, and modern ML libraries.
• Strong foundational knowledge of data structures, statistics, supervised/unsupervised ML, deep learning, and NLP.
• Hands-on experience in LLMs, agent-based AI workflows, and generative AI techniques.
• Strong understanding of data engineering concepts, big data tools like Hadoop, Spark, and databases like Cassandra.
• Knowledge of MLOps pipelines, CI/CD, and version control systems.
• Experience with data visualization tools (e.g., R, Power BI, Matplotlib, Seaborn).
• Effective communication and analytical thinking with the ability to work in global teams across Europe, India, Brazil.

Educational Qualifications:

• Bachelor’s/Master’s/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Certifications in AI/ML, LLM, Data Engineering, or Cloud technologies (preferred).

Additional Information:

• Travel Requirement: <10%
• Remote Work: Yes, up to 70% (occasional in-office at Zebra site 2–3 days/week or biweekly)
• Physical Demands: Sedentary work; frequent typing and communication
• Work Environment: No adverse environmental or safety conditions

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Why Join Us?

• Work on cutting-edge AI/ML technologies in real-world enterprise environments.
• Collaborate with a global team to develop impactful products and predictive solutions.
• Access professional growth, innovation-driven culture, and flexible hybrid working model.