AI Engineer

2 days ago

Chennai, Tamil Nadu, India LatentView Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About the Job

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives, LatentView enables leading global brands to predict new revenue streams, anticipate product trends, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Job Description

We are hiring AI Engineers to design, develop, and deploy AI-powered solutions for clients. You will work with senior engineers and stakeholders to build prototypes, applications, and production-ready systems. This is a hands-on engineering role at the intersection of AI/ML and full stack software development.

Responsibilities

  • Design and deploy AI/ML and Generative AI models.
  • Develop APIs, backends, and user interfaces for AI applications.
  • Contribute to building reusable frameworks and tools.
  • Collaborate with cross-functional teams on solution design and implementation
  • Deploy solutions on cloud platforms and integrate into client environments.
  • Explore and apply emerging technologies in GenAI and Agentic AI.

Requirements

  • 25 years of experience in AI/ML engineering or software development.
  • Strong programming skills in Python and JavaScript/TypeScript.
  • Familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Exposure to LLM applications, vector databases, and agent frameworks
  • Knowledge of cloud platforms (AWS, GCP, or Azure).
  • Experience with Docker/Kubernetes and CI/CD is a plus.
  • Bachelors in Computer Science, Engineering, or related field.

Skills

  • AI/ML: PyTorch, TensorFlow, Hugging Face, LangChain
  • Software Development: Python, , React, REST/GraphQL APIs
  • Cloud & MLOps: AWS/GCP/Azure, Docker, Kubernetes
  • Other: SQL, Pandas, Git, Agile practices

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