Company Name

Ford ( Chennai )

Job Description

• • Product Strategy & Vision (AI/ML & Scale):
  • Define and evangelize the product vision, strategy, and roadmap for our AI/ML platform, data pipelines, and scalable application infrastructure, aligning with overall company objectives.
  • Identify market opportunities, customer needs, and technical trends to drive innovation and competitive advantage in the AI/ML and large-scale data domain.
  • Translate complex technical challenges and opportunities into clear, actionable product requirements and specifications.
  • Product Development & Execution Leadership:
  • Oversee the entire product lifecycle from ideation and discovery through development, launch, and post-launch iteration for critical AI/ML and data products.
  • Work intimately with engineering, data science, and operations teams to ensure seamless execution and delivery of high-quality, performant, and scalable solutions.
  • Champion best practices for productionizing applications at scale and ensuring our systems can handle huge volumes of data efficiently and reliably.
  • Define KPIs and metrics for product success, monitoring performance and iterating based on data-driven insights.
  • People Management & Team Leadership:
  • Lead, mentor, coach, and grow a team of Technical Product Managers, fostering a culture of innovation, accountability, and continuous improvement.
  • Provide clear direction, set performance goals, conduct regular reviews, and support the professional development and career growth of your team members.
  • Act as a leader and role model, promoting collaboration, open communication, and a positive team environment.
  • Technical Expertise & Hands-On Contribution:
  • Possess a deep understanding of the end-to-end ML lifecycle (MLOps), from data ingestion and model training to deployment, monitoring, and continuous improvement.
  • Demonstrate strong proficiency in Google Cloud Platform (GCP) services, including but not limited to, compute, storage, networking, data processing (e.g., BigQuery, Dataflow, Dataproc), and AI/ML services (e.g., Vertex AI, Cloud AI Platform).
  • Maintain a strong hands-on expertise level in Python programming, capable of contributing to prototypes, proof-of-concepts, data analysis, or technical investigations as needed.
  • Extensive practical experience with leading AI frameworks and libraries, including Hugging Face for natural language processing and transformer models.
  • Proven experience with LangGraph (or similar sophisticated agentic frameworks like LangChain, LlamaIndex), understanding their architecture and application in building intelligent, multi-step AI systems.
  • Solid understanding of agentic frameworks, their design patterns, and how to productionize complex AI agents.
  • Excellent exposure to GitHub and modern coding practices, including version control, pull requests, code reviews, CI/CD pipelines, and writing clean, maintainable code.
  • Cross-functional Collaboration & Stakeholder Management:
  • Collaborate effectively with diverse stakeholders across engineering, data science, design, sales, marketing, and executive leadership to gather requirements, communicate progress, and align strategies.
  • Act as a bridge between technical teams and business stakeholders, translating complex technical concepts into understandable business implications and vice-versa.
  Responsibilities
  • Technical Skills:
  • Deep expertise in Google Cloud Platform (GCP) services for data, AI/ML, and scalable infrastructure.
  • Expert-level hands-on Python programming skills (e.g., for data manipulation, scripting, API interaction, ML prototyping, productionizing)
  • Strong working knowledge of Hugging Face libraries and ecosystem.
  • Direct experience with LangGraph and/or other advanced agentic frameworks (e.g., LangChain, LlamaIndex) for building intelligent systems.
  • Solid understanding of software development lifecycle, GitHub, Git workflows, and modern coding practices (CI/CD, testing, code quality).

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