NLP Engineer - Albin Engineering Services, Inc.

Albin Engineering Services, Inc. (www.aesi.com) is looking for an NLP Engineer for one of our premier clients in the Palo Alto, CA area.  As their employee, you qualify for their full benefit package.This position is remote, but there is a preference for candidates located in the bay area.

Job Responsibilities:
Lead the platform’s ML capabilities working closely with the engineering and product teams and being the voice of the company for AI. Apply research methods and develop a systemic approach to new AI model development, testing and deployment to meet strategic needs of the product platform.

Responsibilities include:

• Develop and fine-tune language and machine learning models to help generate key insights sourced from user generated text applying topic modeling, semantic clustering, text classification, document clustering, text generation 
• Develop in-house machine learning tools and pipelines to support fast experimentation of machine learning models. 
• Work closely with Devops teams to build MLops capabilities
• Design and develop new machine learning based analytics techniques to extract more specific and actionable insights from the conversational text to help generate reports with current and historical data grouped by attributes
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Work closely with engineering team to develop analytical data models and help build tools for data extraction, transformation and load
• Excellent coding skills in Python is a must, Java or R will be a plus
• Excellent working skills with AWS services, especially SageMaker, AWS ML Pipelines

Job Requirements:

• MS or PhD in machine learning, computer science, math or equivalent work experience.
• 7+ years of experience as a hands-on expert-level practitioner of machine learning and natural language processing. You have built large scale machine learning models and systems.
• Experience in modeling in Natural Language Processing is a must. Having conducted research and published peer-reviewed articles in a Machine Learning field is a plus. 
• 5+ years of experience leading large ML initiatives in SaaS or tech product startups/companies .
• Strong expertise and experience in hyper-parameter tuning of ML using ensemble approaches, supervised and unsupervised algorithms in Deep Learning and Dimensionality Reduction using Python or R.
• Track record of innovation and having taken large machine learning based products and features from conception to successfully delivering value to customers in production.
• 5+ years of experience building ML and NLP solutions using Python on AWS and familiar with AWS ML pipelines (SageMaker pipelines is a plus) 
• Very strong expertise in using Hugging Face Transformers, Tensorflow 2.x, Keras or MXNet, PyTorch 
• Fine-tuned Hugging Face pre-trained models on AWS GPU instances and used with SageMaker for inference
• Experience with containerized platform such as Docker, Kubernetes or ECS
• Experience with RESTful API Design, Microservice Architecture, Service Mesh and GraphQL / Cypher 
• Know-how with CI/CD: Github Action, Jenkins pipelines, MLOps: MLflow, Kubeflow
• Experience with Pub/Sub systems such as Service Bus, Kafka is a plus.
• Hands-on experience with Spark, Databricks is a plus 
• Experience in test-driven development and behavior-driven development
• Strong written and verbal communication skills. 
• Excellent analytical abilities. 
• Excellent communication skills