Generative AI Engineer
4 weeks ago
We are hiring for one of the IT product-based : AI : Mode : Remote
Skills : Document Intelligence, Generative AI, NLP, Machine Learning, Azure DevOps, Experience : Description :
What you will bring :
- Bachelor's degree completed in Computer Science or a related field.
- 3+ years of experience with AI, software engineering, MLOps, DevOps, or data engineering, in a professional role.
- Experience with document intelligence, generative AI, agentic AI, automation, NLP and machine learning.
- Experience with Azure DevOps, CI/CD, Terraform, Python and other scripting languages.
- Experience with integrating DevSecOps practices and principles throughout the project life cycle.
- Experience with Big Data technologies, cloud-based analytics, non-relational datastores, data visualization tools, and open-source tools for data processing.
- Experience with Agile methodologies (Scrum, Kanban) and project management tools such as Jira.
- Travel required : Minimal (a couple of times a year).
What we would like to see :
- Experience with Databricks and Azure cloud platforms, machine learning services, and best practices.
- Experience in open-source AI/ML tools, frameworks technologies (for example, Meta, HuggingFace, Nemo, TensorFlow, PyTorch, scikit-learn, Apache MXnet, Spark MLlib, etc.).
- Experience with predictive analytics in Healthcare, Insurance or Consumer Credit Responsibilities :
- Design, develop, and deploy AI and machine learning models, particularly focused on document intelligence, generative AI, and NLP applications.
- Collaborate with cross-functional teams to integrate AI solutions into healthcare-related products.
- Implement and manage CI/CD pipelines using Azure DevOps and infrastructure as code tools like Terraform.
- Apply DevSecOps best practices throughout the software development lifecycle to ensure security and compliance.
- Utilize big data technologies, cloud analytics, and non-relational data stores to process and analyze large datasets.
- Work within Agile frameworks (Scrum/Kanban) and manage tasks using project management tools such as Jira.
- Maintain and improve AI/ML models with open-source frameworks and tools, ensuring scalability and performance.
(ref:hirist.tech)
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