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Opportunity as Machine Learning Engineer @ Plano, TX at Plano, Texas, USA
Email: [email protected]
Hello,

This
is Akilesh from ITech US inc. Given below are the details of the position with one of our clients and was wondering if you would be interested or can recommend someone who would be interested in this job.

Position:
Machine Learning Engineer

Location:

Plano,
TX (Onsite)

Duration:
12+ Months Contract

Job
Description:

Collaborate
with data scientists to develop and deploy ML models into production environments.

Ensure
the smooth operation of deployed models by monitoring performance and identifying potential issues.

Implement
model serving infrastructure using tools such as TensorFlow Serving or Hugging Face Transformers.

Work
closely with cross-functional teams, including data scientists, software engineers, and DevOps engineers.

Develop
and maintain documentation for ML infrastructure and workflows.

Present
findings and recommendations to stakeholders through clear and effective communication.

Strong
knowledge of ML workflows and infrastructure.

Should
be good at snowflake and DBT

Excellent
problem-solving skills and attention to detail.

Ability
to work collaboratively with cross-functional teams.

Familiarity
with version control systems such as Git.

Certification
in software engineering, ML, or related field is a plus

Snowflake,
ML, DBT, Python, JAVA, PyTorch

Excellent
problem-solving skills and attention to detail.

Ability
to work collaboratively with cross-functional teams.

Familiarity
with version control systems such as Git.

Education:

At least a bachelors degree (or equivalent experience) in Computer Science,

Software/Electronics
Engineering, Information Systems, or closely related field is require

d

.

----

Thanks & Regards

Akilesh Kumar

iTech US Inc

Email :
[email protected]

Go
Green! Please do not print this e-mail unless necessary

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Keywords: machine learning information technology golang Texas
Opportunity as Machine Learning Engineer @ Plano, TX
[email protected]
[email protected]
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11:36 PM 07-Feb-25


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