Job Description

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:
xc2xb7 5 to 8 years of experience as Data Scientist
xc2xb7 2 to 3 years of experience in Generative AI solution development
xc2xb7 Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making.
xc2xb7 Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments.
xc2xb7 Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents.
xc2xb7 Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows.
xc2xb7 Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning.
xc2xb7 Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance.
xc2xb7 Strong grasp of memory architectures, tool use, and action planning within AI agents.
xc2xb7 Autonomy Score: Measures the degree of independence in decision-making.
xc2xb7 Collaboration Efficiency: Evaluates the ability of agents to work together and share information.
xc2xb7 Task Completion Rate: Tracks the percentage of tasks successfully executed by agents.
xc2xb7 Response Time: Measures the latency in agent decision-making and execution.
xc2xb7 Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment.
xc2xb7 Resource Utilization Efficiency: Evaluates computational and memory usage for optimization.
xc2xb7 Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs.
xc2xb7 Error Rate & Recovery Time: Tracks failures and the system's ability to self-correct.
xc2xb7 Knowledge Retention & Utilization: Measures how effectively agents recall and apply information.
xc2xb7 Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc.
xc2xb7 Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs.
xc2xb7 Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA).
xc2xb7 Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures.
xc2xb7 Experience working with text-to-image models such as Stable Diffusion, DALLxc2xb7E, and Midjourney.
xc2xb7 Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems.
xc2xb7 Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments.
xc2xb7 Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs.
xc2xb7 Expertise in Python, R, TensorFlow, Keras, and PyTorch.
xc2xb7 Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications.
xc2xb7 Proficiency in advanced statistical methods and transformer-based text processing.
xc2xb7 Experience in reinforcement learning and planning techniques for autonomous agent behavior.
Mandatory Skills:
xc2xb7 Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models.
xc2xb7 Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails
xc2xb7 Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc.
xc2xb7 Experience in cloud services like Azure, GCP and AWS
xc2xb7 Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI
xc2xb7 Large Language Models (LLMs): GPT,
Qualifications
Educational qualification:
BE,BTECH or PHD
Experience :
7-11 years
Mandatory/requires Skills : AI
Preferred Skills :