ML (Machine Learning) Engineering

Title: ML (Machine Learning) Engineering

Location: St. Paul MN - Hybrid - 3 days a Week Onsite *** Local Candidates Only ***

Find someone who has current minnesota project

TECHNICAL SKILLS
Must Have

• Advanced SQL
• Amazon AWS Cloud
• Amazon Bedrock
• Amazon SageMaker
• Apache Airflow
• AWS EKS / Kubernetes
• AWS Step Functions
• Certified Python programmer
• CI/CD deployment
• DevOps pipeline experience related to the automation of application testing delivery and infrastructure as code (e.g. GitHub Gradle Puppet Terraform AWS CloudFormation)
• Docker for AWS
• MLOps

Qualifications:

• Advanced degree (Masters or Ph.D.) or equivalent industry experience in Computer Science Machine Learning or related fields.
• 5 years of experience in a similar role in a production environment.
• Experience working with large scale datasets and building ETL pipelines using Spark Kubeflow StreamSets etc.
• Hands-on experience with cloud computing platforms such as AWS.
• Strong proficiency in Python and experience with NLP techniques resources and methodologies such as Scikit-learn TensorFlow PyTorch HuggingFace Comprehend XGBoost LangChain etc.
• Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask ElasticSearch PostgreSQL IBM MQ Apache Kafka etc.
• Experience with iterative development processes thriving in dynamic and agile environments.
• Ability to own ML delivery tasks end-to-end with little to no direct support. Hands-on experience in deploying machine learning models into production environments.
• Strong understanding of software design patterns principles architecture and operations.
• Strong communication skills and the ability to collaborate effectively with business partners vendors end users and cross-functional teams.