Senior Engineer for AI/Machine Learning

Introduction to the role

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

As a Machine Learning Engineer on our core Software AI team, you will be at the forefront of designing and developing cutting-edge GenAI applications.

You will be working closely with business stakeholders and data engineers to communicate AI recommendations to senior management.

Role and responsibilities

• Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AIML solutions.

• Design, build, and deploy state of the art AIML models to solve complex business problems.

• Understand key performance levers and metrics to highlight AIML solution operational issues and drive improvement.

• Foster close collaboration with engineers and infrastructure partners to implement robust and scalable solutions.

• Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations.

• Stay updated with the latest trends, technologies, and best practices in AI and GenAI and data engineering.

• Regularly research and present new ideas to improve the team's technical capabilities.

Education and experience

• Industry experience 10+ years BSCS, 5+ years MS/PhD in Computer Science, Statistics, Applied Math, or a related field.

• Expert in AIML modeling, Python, AIML Infrastructure, model deployment and MLOps.

• Experience working in Supply Chain, Operations, or a related field

• End to end GenAI application experience.

• Knowledge in RAG, Prompt Engineering, LoRA and other GenAI techniques.

• Ability to operate independently and lead without authority.

• Superb communication and interpersonal skills.

Skills

• Experience in AI System Development foundational model Lifecycle training, retrieval of Augmented Systems, and Model Evaluation.

• Proficient in Large Language Models (LLMs) Architecture, creating targeted Instruction Datasets, and implementing Quantization and Inference Optimizations.

• Capable of covering Problem Definition, Data Acquisition, and Full-cycle Deployment, utilizing tools like MLflow, Cloud Platforms like AWS, Google Cloud, Azure.

• Proprietary Models like GPT-4 and Claude, Open-source Models like Llama and Mistral, able to deliver high-performing, scalable, and cost-efficient AI solutions.

• NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face's Transformers to create sophisticated natural language processing solutions.

TECHNICAL SKILLS:

•  Methodologies: Spiral, Agile, Waterfall, Lean.

• Programming Language: C++, Python, Shell, SQL, R.

• IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat.

• ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain,

• llama-index,kore.ai.

• DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers.

• BERT, T5, Sentence Transformers, Foundational models.

• Packages: Pandas, NumPy, Spark, Matplotlib, SciPy.

• Cloud Technologies: AWS (EC2, S3, RDS, ECS, Lambda), Azure(VM, Functions, ACR, AKS), Digital Ocean, GCP, Paperspace.

• Database: MySQL, PostgreSQL, MongoDB, ChromaDB, Pinecone, SQLite.

• Web Frameworks and Web Servers/ Deployment.

• Fast API, Flask, Nginx, Gunicorn, Uvicorn, Docker, Kubernetes.

• Miscellaneous Tools and Technologies:

• JIRA, Auto Gluon, GitHub Actions, Github Issues, Datadog, MS Power BI, Postman, Locust, Stream lit, CUDA, cuDNN, TensorRT

• Version Control: Git, GitHub, DVC (Data Version Control)

• Operating Systems: Windows, Linux, Mac  

Other information

PHYSICAL DEMANDS AND WORK ENVIRONMENT

The physical demands described here are representative of those that must be met by an emplo