Software Engineeer jobs at Ford in India, Chennai

Technical Skills Required:

• Java 1.7 or 1.8 (Mandatory)
• Angular & Typescript (or) JSF 2.x & Prime faces 6.x (Mandatory)
• Spring boot & Microservices (Mandatory)
• Junits (Mandatory)
• JPA (or) Hibernate (Mandatory)
• MS- SQL (or) Oracle (Mandatory)
• Experience in Agile team (Mandatory)
• Selenium & Cucumber (Nice to have)
• PCF (Nice to have)
• Gradle 4.x (Nice to have)
• Jenkins (Nice to have)
• Experience in TDD, Pair programming & BDD (Nice to have)

Good to have:

• Exposure to Postgres / Mongo DB
• Willingness to learn & upskill with newer tools & technologies
• Experience in Pair-Programming & Mob Programming

Ford is implementing SAP S4 HANA based ERP programs across multiple skill teams, which will modernize, improve productivity, reduce the size and complexity of Ford's technical footprint, emphasize differentiating capabilities, and to transform and standardize its business processes. This position will be part of the Foundational Products group in SAP Enterprise Platform Organization and this team is responsible to provide API Enablement and Enhancements development services using SAP ABAP programming and BTP JAVA / Node.js Cloud Application Programming.

Leads design and product teams wi create the operational core data capability for Ford Pro Tech. Includes ETL processes, multi-tier data model designs and implementations, data quality strategy & monitoring, plus domain expertise of data sets in the environment, third-party data evaluations, data quality, creating intelligence layers for ease of use.

• Transform teams from a project mindset towards a product mindset
• Engineering leadership role (LL6) overseeing design and delivery of a complex ‘ecommerce search experience’ micro services ecosystem
• This team is responsible for the systems and technology powering the product discovery and other core product related experiences on ford.com and the other regional markets, as part of the wholistic Omni-Channel, global, platform Commerce team
• Expected to possess experience or at least exposure in GenAI platforms – Multi Modal RAG, Semantic search, Vector DBs, Integrate LLM models to power business use cases and lead all AI related features on ford.com
• In partnership with the principal architect, who is responsible for overall architecture & design, build and deliver a modern, greenfield open stack platform based on MACH architecture principles
• Model the use of modern software engineering practices (TDD BDD, CI/CD, Shift left, 12 factor applications, API first design language etc..) to support integration with existing Ford software products as well as external cloud-based services.
• Collaborate with Ford’s Enterprise Architecture organization to rationalize technologies, further leverage current technology offerings already in use, and identify gaps/opportunities.
• Implement a talent system to review existing team capabilities (internal and external) and build and promote practices to develop a world-class software engineering team.
• Provide thought leadership for the development, structure, technology of Ford with skills in strategic planning, goal setting, processes development, budgeting, and creating opportunities for professional development within technology teams
• Strategize & work with senior leaders across Ford’s engineering organization to make significant, measurable impact on a global scale by innovating and operating with an iterative, agile, and user-centric perspective

• Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc.,
• Experience in Train, Build and Deploy ML, DL Models
• Experience in HuggingFace, Chainlit, React
• Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end.
• Ability to adapt quickly with opensource products & tools to integrate with ML Platforms
• Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.)
• Developing and deploying On-Prem & Cloud environments
• Kubernetes, Tekton, OpenShift, Terraform, Vertex AI
• 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.
• Familiarity in the use of Docker tools, pipenv/conda/poetry env
• Comfort level in following Python project management best practices (use of cxzsetup.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.

We are seeking a highly skilled and experienced Product Team Technical Supervisor to lead one of our key product teams within the Industrial System Analytics (ISA) product group, focusing on Design Cost & Complexity. This role reports directly to the Product Line Owner and is critical for driving the development and delivery of cloud-native analytical solutions that integrate robust software engineering with advanced data science capabilities.