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Generative AI Engineer
Generative AI EngineerImpetus Career Consultants Private Limited • Pune
Generative AI Engineer

Generative AI Engineer

Impetus Career Consultants Private Limited • Pune
30+ days ago
Job description

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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