AI Developer Sr (Remote)

NTT DATA, Inc.; A distancia; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading technology company is seeking an AI Developer Sr to drive the strategic vision for AI applications. This role involves leading teams to develop cutting-edge AI solutions, mentoring engineers, and ensuring alignment with corporate objectives. Candidates should have a Bachelor's degree in computer science or a similar field, along with at least 3 years of relevant experience. Key skills include machine learning, cloud engineering, and effective communication. A remote work option is available, offering flexible work arrangements.

Formación

• Minimum of 3 years of experience in engineering autonomous systems or equivalent experience.
• Demonstrated ability to lead and mentor technical teams.
• Experience in Agile methodologies and project management tools.

Responsabilidades

• Lead and inspire teams in AI solutions design and deployment.
• Collaborate with leadership to define project requirements.
• Mentor AI engineers and promote career growth.

Conocimientos

Machine learning

Deep learning

Cloud engineering

Project management

Collaboration

Communication

AI applications

Educación

Bachelor's degree in computer science or equivalent

Herramientas

Terraform

AWS

Google Cloud

Microsoft Azure

Jira

Trello

TensorFlow

PyTorch

Descripción del empleo

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Developer Sr (Remote) to join our team in Mexico, México (MX-MEX), Mexico (MX).

Job Profile for a Tech. Strategy Developer/Architect

• 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.
• 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.
• 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.
• Excellentverbal 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.
• Experiencein distilling feature requests from customers into technical requirements for an engineering team.

Equivalent and similar experience to the above items will also be considered.

Added bonus if you 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 financialsfor product development lifecycles.
• Fluency in a vector database service like Pinecone or AWS OpenSearch.
• Experiencein 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.
• Experiencein 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 actionmodels.

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