Ai Developer Sr Job at NTT DATA (Mexico)

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

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Ai Developer Sr

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