AI Summary
Seeking a Senior MLOps Engineer with 8-10 years of experience in data engineering, machine learning, and data science. Must have expertise in AWS GovCloud, Databricks, and MLOps architecture. Experience with Python, PySpark, and popular ML frameworks is required.
Key Highlights
8-10 years of experience in data engineering, machine learning, and data science
Expertise in AWS GovCloud, Databricks, and MLOps architecture
Experience with Python, PySpark, and popular ML frameworks
Technical Skills Required
Benefits & Perks
Remote work
Contract duration: 6+ months
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Saksoft, is seeking the following. Apply via Dice today!
Job Title: MLOps Engineer to work on AWS GovCloud Databricks
Location: Remote
Hire Type: Contract
Duration: 6+ months
Responsibilities:
- Bachelor's degree in Computer Science, Engineering, Applied Mathematics or related field
- Have 4 to 6 years of strong experience with AWS Gov Cloud environments, Export Control FedRAMP environments
- Overall 8 to 10 years of solid experience in the areas of data engineering, machine learning data science
- 4 to 6 years of strong experience with the following machine learning topics: classification, clustering, optimisation, deep learning, NLP with Python in a programming-intensive role
- 6 to 8 years of strong experience in Python PySpark coding
- 4 to 6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace, Transformers and libraries like scikit-learn, etc
- 4 to 6 years of experience with ClassicAIGenAI ML Model Operationalisation in Production
- 4 to 6 years of strong experience in Azure Databricks, AWS Databricks, specialising in End-to-End MLOps architecture with practical expertise in Databricks Unity Catalogue, MosaicAI serverless solutions, MLOps stacks and Lakehouse monitoring, among other areas
- 4 to 6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc 4 to 6 years of experience with CICD DevOps process
- Effective communication skills and succinct articulation
- Experience working with remote and global teams and cross-team collaboration