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Ai Developer Sr

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NTT DATA

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Location:
Mexico , Mexico

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Responsibility:

  • Develop and implement the strategic vision for AI applications within Toyota, ensuring alignment with corporate objectives and driving transformative innovation across multiple business units
  • Lead and inspire cross-functional teams in the design, development, and deployment of cutting-edge AI solutions, guaranteeing that projects are delivered on time, within scope, and aligned with overarching business goals
  • Provide expert technical guidance in machine learning, deep learning, hardware engineering, and software engineering, ensuring adherence to best practices while fostering a culture of continuous improvement and innovation
  • Collaborate closely with senior leadership, product managers, and key stakeholders to identify high-impact AI opportunities, define comprehensive project requirements, and effectively communicate progress and outcomes
  • Mentor and cultivate a high-performing team of AI engineers, promoting professional development and career growth through targeted training, performance feedback, and leadership opportunities
  • Stay at the forefront of industry trends and emerging technologies in AI, driving research initiatives that position Toyota as a leader in AI applications and solutions
  • Identify and assess potential risks associated with AI projects, implementing robust mitigation strategies to ensure compliance with regulatory standards and ethical considerations
  • Advise on architectural designs and establish technical requirements for scalable AI-oriented software systems
  • Contribute to codebases for several different software projects and build infrastructure for new AI tools throughout the enterprise
  • Work within a small team of engineers in a fast-paced environment to turn new AI research into real products and services

Requirements:

  • Bachelor's degree or similar education in computer science, natural sciences, mathematics, statistics, engineering, or equivalent work experience
  • Minimum of 3 years of experience in engineering autonomous systems or equivalent experience in vehicle engineering, cloud engineering, or software engineering
  • Proficiency in programming languages such as Python, Java, Javascript, or C++
  • Demonstrated ability to lead and mentor technical teams, fostering a collaborative and innovative work environment
  • Fluency in Terraform, AWS, Google Cloud, or Microsoft Azure and experiencing building infrastructure and tooling for cloud-based software
  • Experience in Agile methodologies and project management tools (e.g., Jira, Trello) to effectively manage project timelines and deliverables
  • Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders
  • Experience and demonstrated track record of building and deploying hardware or software for AI training or autonomous systems
  • Strong background in computer vision, natural language processing, autonomous driving, robotics, or general engineering of autonomous systems
  • Experience translating AI-related research into products through software engineering
  • Passion for advancing the state of technology for the automotive industry and teaching AI to others
  • Experience in distilling feature requests from customers into technical requirements for an engineering team

Nice to have:

  • Relevant certifications in AI, machine learning, or project management (e.g., AWS Certified Machine Learning, PMP)
  • Understanding of ethical considerations and regulatory requirements related to AI technologies
  • Familiarity with AI applications in the automotive industry or related fields, including autonomous systems, predictive maintenance, and customer experience enhancement
  • Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Fluency with cybersecurity tools and best practices for AI models, cloud systems, or vehicle software
  • Experience training and fine-tuning deep learning models
  • Experience overseeing budget allocations for engineering projects and forecasting financials for product development lifecycles
  • Fluency in a vector database service like Pinecone or AWS OpenSearch
  • Experience in manufacturing or vehicle production plants
  • Experience with data processing tools and techniques
  • Understanding of object manipulation, CAD, or physics-based deep learning systems
  • Proficiency in CUDA and/or training deep learning models with on-premise hardware
  • Experience in building agentic mechanisms, MCP servers, and other LLM-based tools
  • Fluency in human factors design and UI/UX standards for modern software applications
  • Strong background working with users to understand usage and frustration signals to help inform product adjustments
  • Proficiency in the use and design of modern generative AI tools, including large language models, vision-language models, vision-language action models

Additional Information:

Job Posted:
April 27, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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