AI Research Data Scientist
Job Description
Job Position: AI Research Data Scientist
Experience: 3–7 years (open to discuss for exceptional candidates)
Job Location: Onsite / Remote (India or Germany)
Location: Onsite / Remote (India or Germany)
Employment Type: Full-time
Position Summary
We are looking for an AI Research Data Scientist to drive innovation and implement AI/ML solutions across projects. The ideal candidate will have strong research and engineering expertise, with advanced academic training in computer science, mathematics, or related fields. You will be responsible for designing novel algorithms, developing advanced AI models, and translating research into production-ready applications.
This role requires a deep understanding of transformers, neural networks, reinforcement learning, and generative AI, along with the ability to approach problems with mathematical rigor and creativity.
Roles and Responsibilities
- Design, develop, and implement end-to-end GenAI solutions across diverse business domains.
- Architect RAG (Retrieval-Augmented Generation) pipelines leveraging tools like LlamaIndex, LangChain, Weaviate, and vector databases (Pinecone, FAISS, Milvus).
- Explore, prototype, and deploy Agentic AI frameworks for autonomous reasoning and task execution.
- Develop and refine advanced prompting strategies, including few-shot, chain-of-thought, self-refinement, and multi-agent orchestration.
- Benchmark and evaluate LLM performance, latency, and efficiency across tasks.
- Fine-tune and optimize open-source and proprietary LLMs for specialized use cases.
- Integrate multimodal AI models (vision, speech, text) for richer context-aware applications.
- Ensure robustness, security, and compliance of GenAI solutions in production environments.
- Collaborate with cloud engineering and MLOps teams for scalable deployment and monitoring.
- Contribute to research-to-production workflows, publishing findings and shaping internal best practices.
Skills
- Expertise in Transformers, Neural Networks, Reinforcement Learning, and Generative AI (GANs, Diffusion Models, LLMs).
- Strong programming skills in Python and familiarity with PyTorch, TensorFlow.
- Strong foundation in mathematics, probability, statistics, linear algebra, and optimization.
- Experience with research-to-deployment workflows (model design, training, evaluation, deployment).
- Problem-solving ability with a focus on innovative and practical AI solutions.
- Familiarity with cloud-based ML workflows (AWS, GCP, or Azure) is a plus.
Qualifications
- MS/PhD in Computer Science, Mathematics, Artificial Intelligence, or related field.
- Proven experience in AI/ML research, publications, or patents.
- Hands-on experience with large-scale ML model development and deployment.
About KIREAP
KIREAP headquartered in Switzerland, is a rapidly growing global / international deep tech start-up tackling major sustainability challenges starting first with the agriculture value chain, moving to Remote Sensing, Logistic Drones, Space and beyond in different phases of the company. We are currently valued at close $200Mn expected to reach unicorn status within a year before launching its IPO. Why we started with Agriculture – we need to bring high end space and aerial and other technologies at no cost to the farmers which represent 1/5th of humanity. We need to secure a sustainable and affordable food system for a growing population within our planetary boundaries. Our solutions include deep-tech technologies both in hardware and software like Gen AI (artificial intelligence, Quantum Computing and Blockchain-enabled digital platform to drones and aerial mobility).
