Triunity Software, Inc. · 17 hours ago
Machine Learning Engineer
San Francisco Bay Area
Contract
Hybrid
Senior Level, Lead/Staff
8+ years exp
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Hiring Manager
Prashant Rathore
Insider Connection @Triunity Software, Inc.
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Responsibilities
Hands-on code mindset with deep understanding in technologies / skillset and an ability to understand larger picture.
Sound knowledge to understand Architectural Patterns, best practices and Non-Functional Requirements.
Overall, 8-10 years of experience in heavy volume data processing, data platform, data lake, big data, data warehouse, or equivalent.
5+ years of experience with strong proficiency in Python and Spark (must-have).
3+ years of hands-on experience in ETL workflows using Spark and Python.
4+ years of experience with large-scale data loads, feature extraction, and data processing pipelines in different modes – near real time, batch, realtime.
Solid understanding of data quality, data accuracy concepts and practices.
3+ years of solid experience in building and deploying ML models in a production setup. Ability to quickly adapt and take care of data preprocessing, feature engineering, model engineering as needed.
3+ years of experience working with Python deep learning libraries like any or more than one of these - PyTorch, Tensorflow, Keras or equivalent.
Prior experience working with LLMs, transformers. Must be able to work through all phases of the model development as needed.
Experience integrating with various data stores, including:
SQL/NoSQL databases
In-memory stores like Redis
Data lakes (e.g., Delta Lake)
Experience with Kafka streams, producers & consumers.
Required: Experience with Databricks or similar data lake / data platform.
Required: Java and Spring Boot experience with respect to data processing - near real time, batch based.
Familiarity with notebook-based environments such as Jupyter Notebook.
Adaptability: Must be open to learning new technologies and approaches.
Initiative: Ability to take ownership of tasks, learn independently, and innovate.
With technology landscape changing rapidly, ability and willingness to learn new technologies as needed and produce results on job.
Qualification
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Required
Hands-on code mindset with deep understanding in technologies / skillset and an ability to understand larger picture.
Sound knowledge to understand Architectural Patterns, best practices and Non-Functional Requirements
Overall, 8-10 years of experience in heavy volume data processing, data platform, data lake, big data, data warehouse, or equivalent.
5+ years of experience with strong proficiency in Python and Spark (must-have).
3+ years of hands-on experience in ETL workflows using Spark and Python.
4+ years of experience with large-scale data loads, feature extraction, and data processing pipelines in different modes – near real time, batch, realtime.
Solid understanding of data quality, data accuracy concepts and practices.
3+ years of solid experience in building and deploying ML models in a production setup. Ability to quickly adapt and take care of data preprocessing, feature engineering, model engineering as needed.
3+ years of experience working with Python deep learning libraries like any or more than one of these - PyTorch, Tensorflow, Keras or equivalent.
Prior experience working with LLMs, transformers. Must be able to work through all phases of the model development as needed.
Experience integrating with various data stores, including: SQL/NoSQL databases, In-memory stores like Redis, Data lakes (e.g., Delta Lake)
Experience with Kafka streams, producers & consumers.
Required: Experience with Databricks or similar data lake / data platform.
Required: Java and Spring Boot experience with respect to data processing - near real time, batch based.
Familiarity with notebook-based environments such as Jupyter Notebook.
Adaptability: Must be open to learning new technologies and approaches.
Initiative: Ability to take ownership of tasks, learn independently, and innovate.
With technology landscape changing rapidly, ability and willingness to learn new technologies as needed and produce results on job.
Preferred
Ability to pivot from conventional approaches and develop creative solutions.
Company
Triunity Software, Inc.
Triunity is a Product Development, Staff Augmentation, and Consulting Services company providing solutions and services in North America.
11-50 employees
H1B Sponsorship
Triunity Software, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (3)
2022 (2)
2021 (1)
2020 (1)
Funding
Current Stage
Early StageLeadership Team
Manohar Suryavanshi
Co-Founder & CTO
Rocky Chen
Partner
Company data provided by crunchbase
