AI Data Engineer

• 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

• 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.
  
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