AI Developer

Komatsu is an indispensable partner to the construction, mining, forestry, forklift, and industrial machinery markets, maximizing value for customers through innovative solutions. With a diverse line of products supported by our advanced IoT technologies, regional distribution channels, and a global service network, we tap into the power of data and technology to enhance safety and productivity while optimizing performance. Komatsu supports a myriad of markets, including housing, infrastructure, water, pipeline, minerals, automobile, aerospace, electronics and medical, through its many brands and subsidiaries, including TimberPro, Joy, P&H, Montabert, Modular Mining Systems, Hensley Industries, NTC, and Gigaphoton.

Job Overview

The AI Developer will play a crucial role in building, deploying, and optimizing AI models, focusing primarily on Generative AI, Machine Learning (ML), and other advanced AI techniques. This hands-on role involves working closely with data scientists, engineers, and cross-functional teams to develop and implement AI solutions that address key business challenges and support strategic initiatives.

Key Job Responsibilities

Design and Develop AI Models:

• Design, build, and implement AI solutions using Generative AI, Machine Learning, and other advanced AI techniques to solve complex business problems.
• Collaborate with data science and engineering teams to gather requirements, understand objectives, and design models that align with business goals.

Model Training and Optimization:

• Train, fine-tune, and optimize machine learning models for performance, scalability, and accuracy.
• Ensure that models are production-ready, robust, and capable of meeting operational demands.

Data Preparation and Processing:

• Work with data engineers to collect, preprocess, and clean data for model development.
• Apply data augmentation, feature engineering, and transformation techniques to enhance data quality and improve model performance.

Deployment and Monitoring:

• Deploy AI models to production, monitor their performance, and work with the engineering team to implement feedback loops and continuous improvements.
• Troubleshoot and address issues with deployed models, ensuring high availability, reliability, and scalability.

Research and Experimentation:

• Stay up-to-date with the latest advancements in AI, particularly in Generative AI and ML, to recommend new tools and techniques.
• Conduct experiments to validate model approaches, optimizing for impact, efficiency, and business value.

Documentation and Best Practices:

• Document model development processes, code, and performance metrics.
• Promote best practices in AI development, including reproducibility, modularity, and adherence to ethical AI guidelines.

Qualifications/Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications in AI, ML, or data science are a plus.
• 3+ years of experience in developing and deploying machine learning and AI models, preferably in an industrial or manufacturing context.
• Strong hands-on experience with Generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion) and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Proficiency in Python, SQL, and relevant ML libraries and frameworks.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools for model deployment and monitoring.
• Solid understanding of machine learning algorithms, natural language processing, computer vision, and deep learning architectures.
• Familiarity with data preprocessing techniques and tools for handling large datasets.
• Soft Skills & Competencies:
• Strong analytical and problem-solving skills, with a focus on practical, real-world applications.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced, agile environment and manage multiple projects simultaneously.
   

Additional Information

Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.