CEI
Job Description
Job Description
Job Title:
AI Data Engineer
Job Details:
Location:
Remote (U.S.) or Onsite based on client needs
Work Authorization:
U.S. Citizens or Green Card Holders preferred
Experience Level:
Minimum 5 years of professional experience in Data Science or
Job Summary:
We are seeking a
Data Scientist
with hands-on experience in
Machine Learning (ML)
and
Deep Learning (DL)
who can design, build, and deploy AI-driven solutions. The ideal candidate will have experience with
Azure
and
AWS
cloud technologies and a strong understanding of data pipelines, model deployment, and MLOps. This role involves collaborating with cross-functional teams to deliver impactful AI projects that solve real-world business challenges.
Key Responsibilities:
Develop and deploy ML/DL models to address business needs.
Build scalable AI solutions using Azure ML, AWS SageMaker, and related tools.
Apply techniques such as NLP, computer vision, and generative AI where appropriate.
Partner with clients to define AI strategies and translate business goals into technical solutions.
Collaborate with data engineers and architects to ensure seamless solution delivery.
Mentor junior team members and contribute to best practices in AI/ML implementations
Required Skills & Experience:
5+ years
of experience in data science, ML/DL model development, and deployment.
Proficiency in
Python
,
TensorFlow
,
PyTorch
, and
Scikit-learn .
Experience with
Azure (Azure ML, Synapse, Data Factory)
and
AWS (SageMaker, Redshift, Glue) .
Strong understanding of
data pipelines
,
model lifecycle management
, and
MLOps .
Excellent communication and problem-solving skills.
Bachelor’s or Master’s degree in
Computer Science
,
Data Science
, or a related field.
#INDGEN #ZR
Job Title:
AI Data Engineer
Job Details:
Location:
Remote (U.S.) or Onsite based on client needs
Work Authorization:
U.S. Citizens or Green Card Holders preferred
Experience Level:
Minimum 5 years of professional experience in Data Science or
Job Summary:
We are seeking a
Data Scientist
with hands-on experience in
Machine Learning (ML)
and
Deep Learning (DL)
who can design, build, and deploy AI-driven solutions. The ideal candidate will have experience with
Azure
and
AWS
cloud technologies and a strong understanding of data pipelines, model deployment, and MLOps. This role involves collaborating with cross-functional teams to deliver impactful AI projects that solve real-world business challenges.
Key Responsibilities:
Develop and deploy ML/DL models to address business needs.
Build scalable AI solutions using Azure ML, AWS SageMaker, and related tools.
Apply techniques such as NLP, computer vision, and generative AI where appropriate.
Partner with clients to define AI strategies and translate business goals into technical solutions.
Collaborate with data engineers and architects to ensure seamless solution delivery.
Mentor junior team members and contribute to best practices in AI/ML implementations
Required Skills & Experience:
5+ years
of experience in data science, ML/DL model development, and deployment.
Proficiency in
Python
,
TensorFlow
,
PyTorch
, and
Scikit-learn .
Experience with
Azure (Azure ML, Synapse, Data Factory)
and
AWS (SageMaker, Redshift, Glue) .
Strong understanding of
data pipelines
,
model lifecycle management
, and
MLOps .
Excellent communication and problem-solving skills.
Bachelor’s or Master’s degree in
Computer Science
,
Data Science
, or a related field.
#INDGEN #ZR