AI/ML Engineer
Spark Tek Inc
Santa Clara, CA, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Computer Engineering
Information Engineering
Extract Transform Load (ETL)
Data Warehousing
Python (Programming Language)
Machine Learning
NumPy
Performance Tuning
Azure Machine Learning
+12 more
Software Engineering
SQL Databases
Snowflake
Fastapi
Pandas
Information Technology
Machine Learning Operations
Restful APIs
Data Pipelines
Docker
Databricks
Microservices
Job description
- Design and develop scalable ML models and workloads on cloud ML platforms such as Azure ML Studio, AWS, or GCP
- Facilitate and participate in the preparation of ML models and their scoring processes
- Develop and support the ML portion of the DT GoToMarket strategy to maximize the distribution of ML predictions and recommendations, including publish microservices/APIs
- Incorporate workflows into ML Model Engineering processes, to automate, monitor, and produce alerts
- Implement performance tuning and model optimization
- Stay current on emerging ML platforms and technologies and recommend solutions that would enhance current systems or implementation
- Collaborate with Product and Engineering team members to follow all documented architecture, design & deployment processes to ensure compliance with policies *
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or equivalent field, with strong communication and cross-functional collaboration skills.
- Bachelor’s degree in a technical field such as computer science, computer engineering or related field required
- 5 years of experience as AI/ML Engineer
- Ability to work as part of a team and collaborate, as well as work independently or with minimal direction
- Excellent written, presentation, and verbal communication skills
- Experience in Machine Learning, Data Engineering, ML Infrastructure, or related fields, with strong foundations in probability, statistics, and machine learning.
- Hands-on experience with Databricks, including Unity Catalog, and cloud ML platforms such as Azure ML Studio, AWS, or GCP.
- Experience building and scaling end-to-end ML systems, ETL/ELT pipelines, and data workflows using Python, NumPy, Pandas, and SQL.
- Experience building scalable APIs and microservices using FastAPI, with Snowflake or equivalent data warehouse technologies.
- Experience deploying production workloads using Docker and Kubernetes, with a strong understanding of scalable, reliable software engineering practices.
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Apply on www.juju.com
Prepare application
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