Gdia Machine Lrng Eng jobs at Ford in India, Chennai

Analytics on Chennai GDIA Ops Data-Develop Analytics and visualization on the Chennai GDIA Ops data to create Chennai GDIA view for GDIA management requirements

GDIA Chennai Talent Acquisition and Assessment-Support GDIA Chennai Recruiting leaders in the evaluation process for lateral hires and entry level talent, ensuring the recruitment of highly skilled professionals aligned with GDIA's technical roadmap.

Strategic Communications-Serve as the central point of contact for all technical and non-technical written communications originating from GDIA Chennai, ensuring clarity, consistency, and alignment with organizational messaging.

Manage Purchased Service engagements, ensuring optimal service delivery, cost-effectiveness, and alignment with organizational needs.

Major Responsibilities: - Ensure FSU, IPR guidelines are met in line with GPDS Milestones and program VPP targets. - • Analyze and interpret engineering/program direction letters to assure accurate processing of data into - WERS [Ford data base of BOM Release]. - • Liaise with Engineering and check the accuracy of data before releasing of BOM in system. - • Utilize Color charts to create and apply correct color codes are released for part number in system in - line with Program Direction Letter. - • Maintain 100% BOM accuracy and quality levels in support of both prototype and production builds - through various audit methods as below - • Perform part audits through Surrogate comparison, Structure Audit etc. - • Tree Chart and identify missing or additional usage for a part number in a commodity - • Proper Program direction Letter interpretation for usage coding. - • Maintain structures in WERS for bailment parts / in-house assemblies / cross plant shipments as - required - • Coordinate with Purchasing / Engineering / Manufacturing for inputs and accurate releasing & - structuring of bailment / cross plant ship parts in system prior to release. - • Conduct efficient Release Analysis to ensure 100% accurate releases in WERS - • Support PPM launch activities for allocated new programs in coordination with members from all - PPM work streams

Soft Skills:

• Strong communication skills and do excellent teamwork through Git/slack/email/call with multiple team members across geographies

GenAI Skills:

• Experience in LLM models like PaLM, GPT4, Mistral (open-source models),
• Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring.
• 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.

ML/DL Skills:

• 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

NLP Skills:

• 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

Python Project Management Skills

• 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.,)

Cloud Skills and Computing:

• 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.

Deployment Skills:

• 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.

UI:

• 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.