Senior Machine Learning Engineer Job
Employer: Sandeep Kanchi
SpiderID: 14218240
Location: Santa Clara, California
Posted: 8/3/2026
Wage:
Priority Review Date: 11/1/2026
Job Code / NOC / SOC:
Category: General
Job Description:
Apply here - https://tinyurl.com/rmvxnw2v
Required Skills & Qualifications:
8+ years of experience developing and deploying machine learning models in partnership with Data Scientists.
Proven experience in ML data pipeline engineering, including building and maintaining robust data pipelines for model training and scoring.
Strong expertise in API-based scoring and deploying ML models as scalable services.
In-depth knowledge of performance tuning and query optimization across large-scale data systems.
Demonstrated experience with data lifecycle management across enterprise data platforms.
Extensive hands-on experience working with data lakes and modern data warehouse technologies.
Proficiency in preparing and managing ML datasets, including data cleaning, transformation, and feature engineering.
Solid understanding of real-time and snapshotted data sources and their appropriate use cases.
Preferred Qualifications:
Experience with enterprise data platform strategy and architecture, particularly in the context of ML model distribution.
Familiarity with workflow automation tools and monitoring/alerting systems for data pipelines.
Knowledge of data governance and compliance practices related to machine learning data.
Experience designing and implementing scalable, reusable data models for analytics and ML use cases.
Exposure to a variety of database technologies, including both SQL and NoSQL systems.
Required Skills & Qualifications:
8+ years of experience developing and deploying machine learning models in partnership with Data Scientists.
Proven experience in ML data pipeline engineering, including building and maintaining robust data pipelines for model training and scoring.
Strong expertise in API-based scoring and deploying ML models as scalable services.
In-depth knowledge of performance tuning and query optimization across large-scale data systems.
Demonstrated experience with data lifecycle management across enterprise data platforms.
Extensive hands-on experience working with data lakes and modern data warehouse technologies.
Proficiency in preparing and managing ML datasets, including data cleaning, transformation, and feature engineering.
Solid understanding of real-time and snapshotted data sources and their appropriate use cases.
Preferred Qualifications:
Experience with enterprise data platform strategy and architecture, particularly in the context of ML model distribution.
Familiarity with workflow automation tools and monitoring/alerting systems for data pipelines.
Knowledge of data governance and compliance practices related to machine learning data.
Experience designing and implementing scalable, reusable data models for analytics and ML use cases.
Exposure to a variety of database technologies, including both SQL and NoSQL systems.
Contact Information:
| Contact Name: Sandeep Kanchi | Type: Recruiter |
| Company: | |
| Web Site: https://tinyurl.com/rmvxnw2v | |