Description :

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.

Roles and Responsibilities :

Core AI/ML Model Development :

- Design, develop, and implement robust and scalable traditional ML models and advanced AI solutions.

- Conduct thorough data exploration, feature engineering, and experimentation to identify optimal modelling approaches.

- Evaluate and optimize model performance, ensuring high accuracy, reliability, and efficiency.

Computer Vision and Document Intelligence :

- Lead the development of Computer Vision solutions, including object detection, image segmentation, and classification, to solve practical business problems.

- Implement and fine-tune models for Optical Character Recognition (OCR) to extract and digitize text from various document types and images.

- Apply image processing techniques (e.g., noise reduction, normalization, geometric transformations) to preprocess data and improve model performance.

Large Language Model (LLM) Application Development :

- Lead the research, prototyping, and building of applications using LLMs (e.g., RAG systems, summarization, conversational AI).

- Develop robust strategies for fine-tuning, prompt engineering, and grounding LLMs to meet specific business needs and improve domain-specific performance.

MLOps and Production Delivery :

- Lead the effort for ML model building and delivery (for Vision, LLM, and traditional models) into production environments.

- Develop, deploy, and maintain new, scalable, and reproducible ML pipelines (CI/CD for ML/AI systems) using frameworks like Kubeflow or Vertex AI Pipelines.

- Utilize Docker extensively to containerize all ML/AI services and ensure consistent execution across environments.

- Deeply leverage Google Cloud Platform (GCP) and Vertex AI for managing the ML lifecycle, including training, experimentation, model registry, and endpoint deployment.

Programming and Software Engineering :

- Apply advanced Python programming skills to write high-quality, efficient, and well-tested code for all production AI/ML systems.

- Adhere to software engineering best practices, including version control (Git), code reviews, and comprehensive documentation.

Required Qualifications :

Experience :

- Minimum 5 years of professional experience in an AI/ML Engineer, Data Scientist, or equivalent role, with a strong focus on deploying models and AI systems to production.

- Demonstrable experience building applications using LLMs and related frameworks (e.g., LangChain, LlamaIndex).

- Proven experience in Computer Vision, OCR, and image processing

Technical Skills :

- Expert proficiency in Advanced Python programming and scientific libraries (e.g., NumPy, pandas, scikit-learn, OpenCV, TensorFlow/PyTorch).

- Strong hands-on experience in implementing and maintaining new ML pipelines.

- In-depth knowledge and experience with Docker for containerization.

- Solid practical experience with Google Cloud Platform (GCP) and direct experience with Vertex AI (Training, Workbench, Endpoints, Generative AI features).

- Experience with libraries and tools specific to vision tasks (e.g., OpenCV, Pillow).

Education :

- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field