ZEISS in India
ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports & Cine Optics.
ZEISS India has 3 production facilities, R&D center, Global IT services and about 40 Sales & Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS’ success story in India is continuing at a rapid pace.
Further information at ZEISS India.
We are seeking a highly skilled Senior AI Engineer with expertise in generative AI, large language models (LLMs), natural language processing (NLP), and data engineering. In this role, you will design and implement cutting-edge AI systems, leveraging frameworks like LangGraph, Retrieval-Augmented Generation (RAG), and graph-based techniques to create innovative knowledge systems. This is an exciting opportunity to work on challenging problems, collaborate with cross-functional teams, and shape the future of AI-driven solutions.
Technical Expertise
- Strong experience with LangGraph or similar frameworks for LLM-based applications.
- Proficiency in prompt engineering and fine-tuning LLMs.
- Hands-on experience with RAG techniques and/or graph-based knowledge systems.
- Advanced knowledge of NLP techniques, including text preprocessing, embeddings, and transformer-based models.
- Advanced programming skills in Python and familiarity with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Proficiency with REST API development with pythong (Flask, Django, FastAPI)
Data Engineering
- Proven ability to design and implement scalable data pipelines.
- Experience with data preprocessing, ETL workflows, and working with structured/unstructured data.
AI Workflow Design
- Deep understanding of AI agent workflows and multi-agent systems.
- Familiarity with reinforcement learning, reasoning systems, or similar AI paradigms.
Problem-Solving and Innovation
- Strong analytical and problem-solving skills with a focus on pragmatic, impactful solutions.
- Ability to experiment with and implement novel AI techniques.
Collaboration and Communication
- Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
- Ability to work collaboratively in a team environment.
Preferred Qualifications
- Experience with knowledge graphs, semantic search, or ontology-based systems.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
- Knowledge of vector databases (e.g., Pinecone, pg_vector, or Milvus).
- Prior experience in building production-grade AI systems.
- Advanced understanding of transformer-based NLP models like BERT, GPT, or T5.
Your ZEISS Recruiting Team:
Upasana Sinal