AI/ML Engineer

ArchLynk stands at the vanguard of SAP Digital Supply Chain, Logistics, Business Planning, and Global Trade solutions, empowering businesses to build resilient, adaptive, and efficient supply chain ecosystems. As a trusted SAP Gold Partner, we have a proven track record of delivering best-in-class solutions and services, ensuring long-term success in an ever-evolving digital landscape. Headquartered in San Jose, California, we specialize in strategic planning, process optimization, and SAP solution deployment across the globe. Leveraging AI/ML-driven tools, seamless integrations, and custom developments, we help businesses navigate the complexities of global supply chain execution with cutting-edge innovation and expertise.

At ArchLynk, you’ll be part of a world-class team driving the future of supply chain intelligence through advanced AI and ML innovation. This is an exciting opportunity to design and deploy production-grade AI systems—ranging from traditional machine learning and computer vision to leading-edge large language model applications—that transform global logistics and enterprise operations. You’ll work with modern tools, cloud platforms, and real-world data to deliver measurable business impact on a global scale.

What Your Day Will Look Like

Core AI/ML Model Development

• Design, develop, and implement robust, scalable ML models and AI solutions.
• Conduct data exploration, feature engineering, and experimentation to identify optimal modeling approaches.
• Evaluate and fine-tune model performance to ensure accuracy, reliability, and efficiency.
  
  

Computer Vision and Document Intelligence

• Lead development of computer vision solutions (object detection, segmentation, classification) for practical business use cases.
• Build and optimize OCR models to extract and digitize text from diverse document types.
• Apply advanced image preprocessing techniques (e.g., noise reduction, normalization, geometric transformations) to enhance model results.
  
  

Large Language Model (LLM) Application Development

• Research, prototype, and build applications using LLMs (e.g., RAG systems, summarization, conversational AI).
• Develop fine-tuning, prompt engineering, and grounding strategies to tailor LLMs for domain-specific performance.
  
  

MLOps and Production Delivery

• Lead the deployment of ML models (Vision, LLM, traditional) into production environments.
• Build scalable, reproducible ML pipelines using frameworks such as Kubeflow or Vertex AI Pipelines.
• Containerize AI/ML services using Docker for consistent, portable execution.
• Fully leverage Google Cloud Platform (GCP) and Vertex AI for model training, registry, experimentation, and endpoint management.
  
  

Programming and Software Engineering

• Write high-quality, efficient, and well-tested Python code for production AI/ML systems.
• Follow best practices in software engineering, including version control (Git), peer reviews, and documentation.
  
  

Essential Skills & Attributes For Success

• Minimum 5 years of professional experience as an AI/ML Engineer, Data Scientist, or similar, with a strong focus on deploying models to production.
• Proven expertise building LLM-based applications using tools such as LangChain and LlamaIndex.
• Demonstrated success in computer vision, OCR, and image processing.
• Advanced proficiency in Python and scientific computing libraries (NumPy, pandas, scikit-learn, OpenCV, TensorFlow, PyTorch).
• Strong hands-on experience building and maintaining ML pipelines.
• Proven ability working with Google Cloud Platform (especially Vertex AI services).
• Solid practical experience with Docker containerization.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or related field.
  
  

Preferable Skills & Attributes For Success

• Experience integrating AI systems within large-scale enterprise or supply chain environments.
• Familiarity with prompt optimization and retrieval-augmented generation (RAG) architectures.
• Strong understanding of CI/CD principles and automated testing for ML pipelines.
• Exposure to multi-cloud or hybrid cloud environments.
• Excellent analytical thinking, problem-solving, and communication skills.
  
  

Why Join Our Team?

Working at ArchLynk means joining a team fueled by collaboration, innovation, and teamwork. Our success is built on the talent, dedication, and passion of the people who drive our mission forward.

What We Offer

• Challenging projects with global organizations working on innovative technologies.
• Talented, passionate, intercultural, and multi-disciplinary teams - the best experts within the industry.
• Individual-centric career path and growth opportunities.
• Training and development opportunities.
• Flexibility and autonomy.
• Annual educational reimbursement for personal and professional development.
  
  

Our People and Culture

We are a global organization united by a shared purpose. While we celebrate our diversity and individuality, we thrive through collaboration, mutual respect, and unwavering support for one another. We seize every opportunity to exceed customer expectations and continually pursue excellence in all that we do.

At ArchLynk, we empower our team members with meaningful learning experiences, a flexible and inclusive environment, and the tools to grow and achieve excellence. If this resonates with the experience you seek, we invite you to join our team and embark on an inspiring journey with us.

We welcome applicants of all backgrounds and are committed to creating an inclusive environment. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, marital status, age, disability, veteran status, or any other protected status.

Privacy Statement

By applying to this role, you acknowledge that ArchLynk will process your personal data for recruitment purposes in accordance with applicable data protection laws, including the GDPR for candidates located in the EU/EEA/UK. Your information will be shared only with individuals directly involved in the hiring process and will be retained for no longer than necessary. For more information, please review our Data Privacy Policy

Join us and be part of a team that values innovation, inclusivity, and impact!