Machine Learning Engineer Onsite Role
Machine Learning Engineer Onsite Role
Posted on :
27-10-2024
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Job Description
Position : Machine Learning Engineer
Location : Bentonville AR Onsite
Duration: 12 months
Description:
- This is not a consulting role alone or project management role.
- Experience with Optimization (LP and other techniques) and Forecasting Area for Store and Products in Store
- They should understand Retail store domain very well should have experience in working in Retail Data Science Projects
- They are supposed to by proficient in Python Kafka Integration Infrastructure Provisioning and to minimize cloud spend
- Cloud is Azure
Responsibilities
- Defines MLOps processes and assists in model deployments
- Works closely with Data Scientists in refactoring the model training pipelines
- Automate model training pipelines
- Employ AI/ML architectural knowledge as well as standard DevOps pipelines to achieve data science objectives (e.g. developing a feature store training/deploying ML models etc.)
- Implement standard DevOps tools (e.g. Git Jenkins Docker CI/CD pipelines etc.)
- Recommend appropriate technologies/applications to enable strategic data management model management and risk considerations
- Ensure platform is scalable reliable and performant
- Assists in outlining new integration patterns with on demand solutions
Required Skills
- Proficiency in Spark Java/Scala Hadoop Kafka Python
- Solid experience of SQL and NoSQL database technologies.
- Experience in developing REST APIs event & message driven applications using Kafka or other messaging queue
- Experience in building batch and streaming data pipelines
- Experience working in Agile/Scrum setup
- Experience working with Data Scientist in converting model to production code
- Experience with building model inference pipelines
- Hands on experience in defining CI/CD pipelines for enterprises e.g.Concord/Jenkins/etc.
- Experience deploying applications in GCP
- MS degree in Computer Science or related field
Employment Type
Full Time
Key Skills
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