Machine Learning Engineer/ AI Architect

Job Title – ML Engineering Consultant Job Type – Hybrid Job Location – Saint Paul, Minnesota Duration- 12 Months Interview Mode- In-Person 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 (Master's 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.