AI Data Engineer

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