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Artificial Intelligence / Machine Learning Engineer - NLP

Artificial Intelligence / Machine Learning Engineer - NLP

Impetus Career Consultants Private LimitedPune
4 days ago
Job description

Description : Hiring for AI Engineer for Product based company. Location : Gurugram / Pune. Work Mode : Hybrid. Exp : 3+ Years. Domain Experience : Healthcare.

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.

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 industry.
  • Key Responsibilities :

  • Design, develop, and deploy AI and ML solutions across multiple product lines.
  • Work on document intelligence, NLP, generative AI, and agentic AI solutions to enhance automation and decision-making capabilities.
  • Collaborate with data engineers and DevOps teams to implement MLOps pipelines for model deployment, monitoring, and retraining.
  • Integrate DevSecOps principles and CI / CD pipelines using Azure DevOps and Terraform.
  • Build and maintain cloud-based data pipelines using big data technologies and non-relational databases.
  • Collaborate with product managers and stakeholders to understand healthcare-specific data and translate it into actionable insights.
  • Implement AI governance, security, and compliance standards within the healthcare ecosystem.
  • Utilize Agile methodologies (Scrum / Kanban) to manage sprint deliverables and project timelines.
  • (ref : hirist.tech)

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