Sc Ai Engineering Manager

Job Category Global Data Insight Analytics Degree Level Master s Degree or equivalent Background Ford s Supply Chain Analytics Team is looking for an AI Engineering Manager experienced in NLP LLM GenAI who are hands-on and can employ many NLP Prompt engineering techniques from traditional statistical ML NLP to DL-based sequence models and transformers in their day-to-day work AI Technical Manager will lead a small team as well as consult across the Supply Chain Analytics Team to support the implementation of Agentic AI solutions You ll be working alongside leading technical experts from all around the world on a variety of products involving Agentic AI solutions leveraging MCP to solve Supply Chain Problems across Ford Globally Responsibilities Responsibilities Design NLP LLM GenAI applications products by following robust coding practices Design Agentic AI Systems leveraging MCP protocol or Google ADK Explore SoTA models techniques so that they can be applied for automotive industry use cases Conduct ML experiments to train infer models if need be build models that abide by memory latency restrictions Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP LLM GenAI applications in the best way possible to users through web frameworks Dash Plotly Streamlit etc Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen Agentbuilder langgraph and MCP protocols Build modular AI ML products that could be consumed at scale Qualifications Experience 5 years Management experience is preferred but not mandatory Education Master s Degree in Computer Science Engineering Maths or Science Performed any modern NLP LLM courses open competitions is also welcomed Technical Requirements Experience in LLM models like Gemini GPT5 and more Work through the complete lifecycle of Gen AI model development from training and testing to deployment and performance monitoring Experience in building and deploying Agentic AI products leveraging MCP protocol or Google ADK Developing and maintaining AI pipelines with multimodalities like text image audio etc Have implemented in real-world Chat bots or conversational agents at scale handling different data sources Experience in developing Image generation translation tools using any of the latent diffusion models like stable diffusion Instruct pix2pix Expertise in handling large scale structured and unstructured data Efficiently handled large-scale generative AI datasets and outputs Familiarity in the use of Docker tools pipenv conda poetry env Comfort level in following Python project management best practices use of setup py logging pytests relative module imports sphinx docs etc Familiarity in use of Github clone fetch pull push raising issues and PR etc High familiarity in the use of DL theory practices in NLP applications Comfort level to code in Huggingface LangChain Chainlit Tensorflow and or Pytorch Scikit-learn Numpy and Pandas Comfort level to use two more of open source NLP modules like SpaCy TorchText fastai text farm-haystack and others Knowledge in fundamental text data processing like use of regex token word analysis spelling correction noise reduction in text segmenting noisy unfamiliar sentences phrases at right places deriving insights from clustering etc Have implemented in real-world BERT or other transformer fine-tuned models Seq classification NER or QA from data preparation model creation and inference till deployment Use of GCP services like BigQuery Cloud function Cloud run Cloud Build VertexAI Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering Big Data and ML needs Use of Dockers experience in experimental docker features docker-compose etc Familiarity with orchestration tools such as airflow Kubeflow Experience in CI CD infrastructure as code tools like terraform etc Kubernetes or any other containerization tool with experience in Helm Argoworkflow etc Ability to develop APIs with compliance ethical secure and safe AI tools Good UI skills to visualize and build better applications using Gradio Dash Streamlit React Django etc Deeper understanding of javascript css angular html etc is a plus Miscellaneous Skills Data Engineering Skillsets to perform distributed computing specifically parallelism and scalability in Data Processing Modeling and Inferencing through Spark Dask RapidsAI or RapidscuDF Ability to build python-based APIs e g use of FastAPIs Flask Django for APIs Experience in Elastic Search and Apache Solr is a plus vector databases