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Local Only : ML Engineer , San Francisco ,CA 12+yeras at San Francisco, California, USA

http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1949873&uid=

Role : ML Engineer

Location : San Francisco ,CA (Onshore- Tuesday's in office)

Production-ready ML model implementation experience required

Required
Skills & Experience:

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.

2+ 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.

2+ 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 Skills
:

Ability to pivot from conventional approaches and
develop creative solutions.

Thanks & Warm Regards,

Alok Singh |
Technical Recruiter

TekNavigators Staffing

Alok

@tek-staffing.com

tek-staffing.com

linkedin.com/in/alok-singh-8900bb210

--

Keywords: machine learning information technology California
Local Only : ML Engineer , San Francisco ,CA 12+yeras
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1949873&uid=

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08:25 PM 20-Nov-24

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aloklinkedin02@gmail.com wrote:
Role :  ML Engineer

Location : San Francisco ,CA (Onshore- Tuesday's in office)

Production-ready ML model implementation experience required

Required
Skills & Experience:

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.

2+ 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.

2+ 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 Skills
:

Ability to pivot from conventional approaches and
     develop creative solutions.

Thanks & Warm Regards,

Alok Singh | 
Technical Recruiter

TekNavigators Staffing

Alok

@tek-staffing.com

tek-staffing.com

linkedin.com/in/alok-singh-8900bb210

Keywords: machine learning information technology California 
Local Only : ML Engineer , San Francisco ,CA 12+yeras
aloklinkedin02@gmail.com

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Location: San Francisco, California