3 Phidata Jobs

As Ford Motor Company embarks on a significant multi-year Platform Lifecycle Management (PLM) program to modernize critical IT applications across the enterprise, you have a unique opportunity to join the team as a GenAI Technical Manager (LL6). In this role, you will play a pivotal part in driving the practical adoption of Generative AI (GenAI) at Ford, with a focus on creating accelerators for the PLM modernization effort and enhancing the Ford Developer Experience (DX). Your expertise will be crucial in leading the technical development and implementation of GenAI solutions within this strategic program. You will collaborate closely with various teams including PLM program leaders, GDIA (Global Data Insight & Analytics), architecture teams, PDOs (Product Driven Organizations), and engineering teams to design, build, and deploy cutting-edge GenAI tools and platforms. Your responsibilities will include leading the technical design, development, testing, and deployment of GenAI solutions, translating GenAI strategy into actionable projects, managing the technical lifecycle of GenAI tools, and overseeing the integration of GenAI capabilities into existing workflows and processes. As a technical expert in GenAI models and frameworks, you will provide guidance to development teams, architects, and stakeholders on best practices, architecture patterns, security considerations, and ethical AI principles. You will stay updated on the evolving GenAI landscape, evaluate new tools and models, and lead the development of GenAI-powered accelerators and tools to automate and streamline processes within the PLM program. Collaboration and stakeholder management will be key aspects of your role, requiring effective communication of complex technical concepts to diverse audiences. You will also lead proof-of-concept projects with emerging GenAI technologies, champion experimentation and adoption of successful tools and practices, and mentor junior team members in GenAI development tasks. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field, along with 8-10+ years of experience in software development/engineering with a focus on AI/ML and Generative AI solutions. Deep practical expertise in GenAI, strong software development foundation, and familiarity with enterprise application context are essential qualifications. Preferred qualifications include GCP certifications, experience with Agile methodologies, and familiarity with PLM concepts or the automotive industry. If you are passionate about innovation in the AI space, possess strong analytical and strategic thinking skills, and excel in a fast-paced, global environment, we invite you to join us in shaping the future of AI at Ford Motor Company.,

Preferred candidate profile Experience: Freshers We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. As an early-career team member, you will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dynamic AI pipelines for tasks like summarization, Q&A, sentiment analysis, and more. Collaborate with the AI/ML team to design and deploy prototypes and PoCs. Write clean, modular Python code and maintain version control via Git/GitHub. Document projects clearly and effectively for internal and external stakeholders. Required Skills Solid understanding of Machine Learning, Deep Learning fundamentals, and model evaluation. Experience with Generative AI projects (transformers, text generation, prompt engineering, etc.). Familiarity with frameworks like LangChain, LangGraph, PhiData. Proficient in Python, along with common ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn). Good understanding of LLM APIs (OpenAI, Anthropic, Cohere, etc.). Experience with Agentic AI Strong problem-solving ability and communication skills. Active GitHub profile showcasing relevant projects is mandatory Good to Have Knowledge of REST APIs, basic backend frameworks like Flask or FastAPI. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Basic understanding of RAG (Retrieval-Augmented Generation) pipelines. Knowledge of prompt chaining and tool-calling via LLM agents. Knowledge on web application development

Role & responsibilities Experience: 0-1 year Location - Bengaluru Mode of work - Work from office Mode of interview - Face to Face We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. As an early-career team member, you will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. This role is ideal for someone who has recently completed academic or personal projects and is eager to apply their knowledge to real-world use cases. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dynamic AI pipelines for tasks like summarization, Q&A, sentiment analysis, and more. Collaborate with the AI/ML team to design and deploy prototypes and PoCs. Write clean, modular Python code and maintain version control via Git/GitHub. Document projects clearly and effectively for internal and external stakeholders. Required Skills Solid understanding of Machine Learning, Deep Learning fundamentals, and model evaluation. Experience with Generative AI projects (transformers, text generation, prompt engineering, etc.). Familiarity with frameworks like LangChain, LangGraph, PhiData. Proficient in Python, along with common ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn). Good understanding of LLM APIs (OpenAI, Anthropic, Cohere, etc.). Strong problem-solving ability and communication skills. Active GitHub profile showcasing relevant projects is mandatory Good to Have Knowledge of REST APIs, basic backend frameworks like Flask or FastAPI. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Basic understanding of RAG (Retrieval-Augmented Generation) pipelines. Knowledge of prompt chaining and tool-calling via LLM agents. Knowledge on web application development