Senior AI Engineer
CelonisPosted March 4, 2025
Bangalore, Karnataka
Energy ManagementFull Time
Job Description
The Senior AI Engineer at Celonis will focus on fine-tuning and optimizing large-scale AI models for enterprise applications, working with generative AI and multi-agent systems to enhance automation and decision-making in business processes.
Responsibilities
- •Fine-tune and optimize large language models and generative AI models for enterprise applications.
- •Develop and refine AI model pipelines, focusing on retrieval-augmented generation, embedding techniques, and prompt optimization.
- •Research and apply advanced AI methodologies for business process enhancements.
- •Collaborate with data engineers to integrate AI-powered automation with enterprise applications.
- •Enhance AI models by incorporating retrieval-based augmentation and adaptive learning techniques.
- •Develop and optimize prompt engineering techniques for contextual enterprise use cases.
- •Ensure scalability, robustness, and interpretability of AI solutions for real-world applications.
- •Maintain data quality, integrity, and security while enabling AI-driven insights.
- •Continuously explore and prototype emerging AI technologies for Celonis Garage initiatives.
Requirements
- •Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
- •5 years of experience in artificial intelligence, deep learning, or cognitive computing.
- •Strong expertise in Python and AI/ML frameworks such as TensorFlow and PyTorch.
- •Hands-on experience in fine-tuning large language models (LLMs) such as OpenAI GPT, Llama, Mistral, Claude, and generative AI models.
- •Experience with retrieval-augmented generation (RAG), embeddings, and vector databases.
- •Deep understanding of AI reasoning, knowledge representation, and explainable AI techniques.
- •Proficiency in advanced prompt engineering techniques to optimize AI model responses and contextual understanding.
- •Familiarity with reinforcement learning, decision-making models, and multi-agent AI systems.
- •Hands-on experience with cloud-based AI services such as AWS, Azure, GCP, and distributed AI architectures.
- •Proficiency in integrating AI with enterprise data sources such as SAP, Salesforce, and ServiceNow.
- •Strong understanding of AI safety, ethical AI, and responsible AI deployment practices.
- •Familiarity with data engineering best practices, including data pipelines, ETL processes, and stream processing frameworks such as Kafka, Spark, and Flink.
Benefits
- •Great compensation and benefits packages
- •Equity restricted stock units
- •Life insurance
- •Time off
- •Generous leave for new parents from day one
- •Subsidized gym membership
- •Access to counseling
- •Virtual events on well-being topics
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