Zebra Technologies Off Campus Drive for Data Scientist, Advanced in Bangalore

20 vacancies
20,000 - 40,000

Zebra Technologies is hiring for the post of Data Scientist, Advanced in Bangalore. Candidates who are looking for this opportunity can apply for this position before the last of the application. Check eligibility details and application process given below.

Company Name: Zebra Technologies

Job Location: Bangalore

Job Role: Data Scientist, Advanced 

Experience: Freshers

Employment Type: Full Time

Selection Type: Online

Educational Qualifications: B.Tech/M.Tech/PhD

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Job Responsibilities:

  • Experience: experience in ML, NLP, or AI-related roles, with a focus on LLMs and generative AI.
  • Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch
  • LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs(e.g., OpenAI’s GPT, Meta’s LLaMA, Mistral, or other transformer-based architectures).
  • Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation.
  • Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow.
  • Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes.
  • Model Serving & Optimization: Proficiency in model quantization, pruning, distillation, and knowledge distillation to improve deployment efficiency and scalability.
  • Research & Problem-Solving: Ability to conduct independent research, explore novel solutions, and implement state-of-the-art ML techniques.
  • Strong Communication Skills: Ability to translate technical concepts into actionable insights for non-technical stakeholders.
  • Version Control & Collaboration: Proficiency in Git, CI/CD pipelines, and working in cross-functional teams.

Required Skills:

  • Experience with Reinforcement Learning (RLHF) for LLMs.
  • Knowledge of vector databases and retrieval-augmented generation (RAG) architectures.
  • Familiarity with multi-modal AI models (vision-language models, speech-to-text, etc.).
  • Understanding of agentic AI frameworks (e.g., AutoGPT, LangChain, LlamaIndex).
  • Hands-on experience with Google Vertex AI Pipelines, AutoML, and model monitoring.
  • We are seeking LLM enthusiast with a knack for research, customer interaction, and building impactful AI solutions

Required Qualification's:

  • Education: Bachelor's/Master’s/Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field.
  • B.Tech/M.Tech/PhD in CS/ML/Statistics
  • Preferably 8+ years’ experience as Data Scientist OR in related field (Statistics / Operation Research) OR as System
    Architect / Enterprise Architect
  • Design and conduct Analysis/Experiments (Plan Analysis and address competing explanations, Determine best way to evaluate results, Explore structured and unstructured data appropriately, Apply appropriate algorithms, Clearly document and articulatefindings),Incorporate Analysis into pipelines and pipelines into business/Engineering stack (Read/write data to/from any format / location, incorporate complex matching and filtering,Make work compatible with/suitable for engineering stack,Discover needs of business, Navigate Business organization structure, package technical work for diverse audiences), Build the profession (Mentor/Coach Junior Data scientists,enable/upskill citizen data scientists)
  • Problem Solving / Critical Thinking, Good business intuition,Programming and Coding (Python / R), Mathematics and
    Statistics (Equivalent to Graduate level Stat 101 and Math101), Machine Learning / Deep Learning / AI, Communication
    / Appropriate articulation, Data Architecture, Risk Analysis /Systems Engineering

How To Apply:

  • Visit the official website/ click on given link below
  • Fill all the application details
  • Upload the updated Resume

Application Link: APPLY NOW

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