3 Days Left: Agentic Ai Specialists

Company Description Bosch Global Software Technologies Private Limited is a 100 owned subsidiary of Robert Bosch GmbH one of the world s leading global supplier of technology and services offering end-to-end Engineering IT and Business Solutions With over 28 200 associates it s the largest software development center of Bosch outside Germany indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US Europe and the Asia Pacific region Roles Responsibilities Roles Responsibilities Education and Work Experience Requirements 5 to 8 years of experience as Data Scientist 2 to 3 years of experience in Generative AI solution development Strong understanding of AI agent collaboration negotiation and autonomous decision-making Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments Deep knowledge of agentic AI principles including self-improving self-organizing and goal-driven agents Proficiency in multi-agent frameworks such as AutoGen LangGraph LangChain and CrewAI for orchestrating AI workflows Hands-on experience integrating LLMs GPT LLaMA Mistral etc with agentic frameworks to enhance automation and reasoning Expertise in hierarchical agent frameworks distributed agent coordination and decentralized AI governance Strong grasp of memory architectures tool use and action planning within AI agents Autonomy Score Measures the degree of independence in decision-making Collaboration Efficiency Evaluates the ability of agents to work together and share information Task Completion Rate Tracks the percentage of tasks successfully executed by agents Response Time Measures the latency in agent decision-making and execution Adaptability Index Assesses how well agents adjust to dynamic changes in the environment Resource Utilization Efficiency Evaluates computational and memory usage for optimization Explainability Interpretability Score Ensures transparency in agent reasoning and outputs Error Rate Recovery Time Tracks failures and the system s ability to self-correct Knowledge Retention Utilization Measures how effectively agents recall and apply information Hands-on experience with LLMs such as GPT BERT LLaMA Mistral Claude Gemini etc Proven expertise in both open-source LLaMA Gemma Mixtral and closed-source OpenAI GPT Azure OpenAI Claude Gemini LLMs Advanced skills in prompt engineering tuning retrieval-augmented generation RAG reinforcement learning RAFT and LLM fine-tuning PEFT LoRA QLoRA Strong understanding of small language models SLMs like Phi-3 and BERT along with Transformer architectures Experience working with text-to-image models such as Stable Diffusion DALLE and Midjourney Proficiency in vector databases such as Pinecone Qdrant for knowledge retrieval in agentic AI systems Deep understanding of Human-Machine Interaction HMI frameworks within cloud and on-prem environments Strong grasp of deep learning architectures including CNNs RNNs Transformers GANs and VAEs Expertise in Python R TensorFlow Keras and PyTorch Hands-on experience with NLP tools and libraries OpenNLP CoreNLP WordNet NLTK SpaCy Gensim Knowledge Graphs and LLM-based applications Proficiency in advanced statistical methods and transformer-based text processing Experience in reinforcement learning and planning techniques for autonomous agent behavior Mandatory Skills Design develop test and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models Strong understanding of LLMs and associated technologies like RAG Agents VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex Langchain Autogen etc Experience in cloud services like Azure GCP and AWS Multi-agent frameworks AutoGen LangGraph LangChain CrewAI Large Language Models LLMs GPT Qualifications Educational qualification BE BTECH or PHD Experience 7-11 years Mandatory requires Skills AI Preferred Skills