Network Security Engineer jobs at Ford in India, Chennai

Data Engineer - GSR5/GSR6

This role requires a combination of software engineer, data enginner and an ML developer where you're expected to build solutions integrating data pipelines & ML models. It also requires you to have basic knowledge and (preferably) hands-on experience on building back-end services(APIs) which integrate data & applications.

We’re seeking a Container Security Engineer to join our EPEO – Security Services team and lead efforts to secure our containerized environments. You will be responsible for designing, implementing, and maintaining security controls across our Docker, Kubernetes, and other container-orchestration platforms. Your expertise will help ensure our development pipelines and production workloads remain resilient against emerging threats in the cloud-native landscape.

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.

Job Roles & Responsibilities:

• Receive, review, and respond to technical queries from the field through:
• Technical Support Request (TSR),
• Emails (when GTAC is down or not operational),
• Handling inbound calls (after submitting TSR),
• Utilizing SWIS calls (Call volume at 5%) and making outbound calls as needed.
• Regularly track all open/ageing concerns for timely resolution and update the vehicle status.
• Daily update the TSR status in the TSR tracking sheet on SharePoint until the Repair Order (RO) is invoiced.
• Aim to answer all incoming phone calls within three rings to minimize missed calls.
• Escalate issues to the TAC Supervisor within 24 hours if there is a delay in diagnostics by the dealer and TAC.
• Follow the escalation matrix to ensure that open concerns are resolved within the specified 1-day time limit.
• Provide justification for any TSRs open beyond 2 days to the TAC Supervisor/TSO manager.
• Prepare alerts with relevant documents for thermal and safety-related events and forward them to the TAC Supervisor for validation.
• Assist dealer technicians with module programming through SWIS, phone, or WebEx when dealers face execution challenges.
• Update the TSR tracking sheet for repeat failure concerns.
• Inform the IMG TAC Supervisor about repeat repair TSRs from the first day for guidance.
• Report any abnormalities in PTS, TSR, SWIS, Servis2, PAR, and WSM to the respective stakeholders for correction.
• Discuss warranty rejection repairs with the dealer and ZM after consulting with the IMG TAC Supervisor.
• Communicate technical issues with service parts to the PDC (Parts Dispatch Centre)/PCA (Product Concern Analyst) team.
• Review and adjudicate Prior Approval Requests (PARs) in Servis2.
• Address low TAC survey scores by finding resolutions and enhancing skills through appropriate training.
• Analyze the "Not Fixed Right First Time" (Not FIRFT) customer verbatim and update the gap analysis on SharePoint for FSE review.

• 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.