Jobs
- Responsibilities:
- Develop digital products across Digital, web, and mobile web platforms.
- Lead implementation of conversational AI solutions, including designing engaging conversational flows, intents, and entities.
- Architect multi-turn dialogues and manage contexts to ensure natural, human-like conversations.
- Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and integrate AI solutions seamlessly.
- Continuously research and evaluate emerging AI technologies and trends to drive innovation and recommend state-of-the-art solutions.
- Provide application support and manage migrations.
- Work on a balanced product team to define, design, develop, and deploy front-end client development frameworks like React, GraphQL, Adobe Experience Manager, Salesforce and DialogFlow.
- Document conversation flows, ML training data, fine-tuning processes, and design guidelines.
- Solid understanding of chatbot architecture (NLU, dialogue management, response generation).
- Experience with deep learning/NLP frameworks (TensorFlow, PyTorch, Hugging Face, spaCy).
- Familiarity with cloud platforms (GCP preferred, AWS/Azure a plus).
- Knowledge of contact centre AI and integrations with telephony platforms (Genesys, Avaya, Twilio) is advantageous.
- Deliver valuable, working, tested, quality software, released at market speed.
- Collaborate directly and continuously with Product Managers and Product Owners to prioritize deliverables geared towards a business and user value-driven approach with a continuous improvement and innovative mindset.
- Champion an Agile mindset and Software Craftsmanship practices, contributing to and leading the agile team for quality deliverables.
- Research new technologies, influence enterprise technology shifts, and implement new trends impacting Ford application delivery.
- Participate in and champion highly collaborative practices, including:
- Full Stack eXtreme Programming (XP)
- Pair Programming
- Test-Driven Development (TDD)
- DevOps
- Continuous Integration and Continuous Deployment (CI/CD)
- Security practices (SAST/DAST)
- Use of monitoring, logging, and tracing tools (Splunk, Dynatrace, etc.)
- Engage in Agile practices including, but not limited to, Stand-ups, backlog grooming, sprint demos, and journey mapping.
- On-call, off-hours, and weekend support is required on a rotational basis.
- Preferred Qualifications:
- B.E. / B.Tech / M.C.A.
- Minimum 10+ years of experience in a hands-on technical role engaged in developing, implementing, and supporting software applications.
- 4+ years of work experience with the Spring Platform (Spring MVC, Spring Boot, Spring JDBC, Spring Cloud).
- 4+ years of work experience with front-end client development frameworks like React, GraphQL, Adobe Experience Manager, and Salesforce.
- 3+ years of work experience with Microservice architecture and SOAP or REST APIs.
- 2+ years of Cloud-Native Development experience with the Pivotal Cloud Foundry Platform or similar AWS/Azure.
- 3+ years of work experience with front-end client development frameworks (Angular/React).
- 3+ years of work experience with Agile project involvement and Software Craftsmanship.
- Experience with Large Language Models (LLMs), including their development, fine-tuning, and deployment.
- Proficiency in Java programming is a significant advantage.
- Proficiency with other AI/ML frameworks and libraries such as TensorFlow or PyTorch is a plus.
- Exposure to LLMs (OpenAI, Gemini, LLaMA, Claude) for advanced conversational AI use cases.
- Knowledge of speech technologies (ASR, TTS) and voice bot deployment.
- Exposure to other conversational AI platforms (Amazon Lex, IBM Watson Assistant, Microsoft Bot Framework, Rasa).
- Familiarity with speech-to-text (STT), text-to-speech (TTS) engines and voice-based assistants.
- Prior experience in customer support automation projects.
- Experience with various testing types including Unit, integration, regression, user testing, and load testing (specifically TDD with JUnit and Selenium).
- Experience with code quality tools (e.g., 42Crunch, SonarQube, Checkmarx, etc.).
- Experience with build and CI/CD tools (e.g., GitHub, Jenkins, Maven, Gradle, etc.)
- Relevant certifications in Conversational AI, NLP, or Google Cloud AI are a plus.
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About Ford
Ford
PublicThe Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.
10,001+
Employees
Chennai
Headquarters
$48B
Valuation
Reviews
3.4
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.9
Management
2.3
45%
Recommend to a Friend
Pros
Good pay and benefits
Decent work-life balance options
Learning and advancement opportunities
Cons
Poor management and favoritism
Mandatory overtime and exhausting schedules
Limited growth opportunities
Salary Ranges
36 data points
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1 reports
$132,847
total / year
Base
$102,190
Stock
-
Bonus
-
$132,847
$132,847
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Phone Screen
2
Technical Interview
3
Behavioral Interview
4
Final Round Interview
Common Questions
Behavioral
Technical
Assessment
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