Assistant Manager

1 day ago

Chennai, Tamil Nadu, India LatentView Analytics 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 seeking a Full Stack AI Engineer (Manager-level) to lead the design and delivery of innovative AI-driven prototypes and solutions for clients. This role requires a mix of hands-on engineering, project leadership, and stakeholder management. You will architect and implement AI/ML systems, manage client expectations, and mentor junior engineers while ensuring projects are delivered with technical excellence.

Responsibilities

  • Lead AI/ML, GenAI, and Agentic AI solution development from design to deployment.
  • Manage end-to-end project delivery, including client interactions and stakeholder management.
  • Architect scalable, cloud-native AI applications.
  • Provide technical guidance and mentorship to junior engineers.
  • Balance coding responsibilities with project management and client engagement.
  • Stay current with emerging AI/ML and cloud technologies and apply them in client solutions.

Requirements

  • 4–8 years of experience in AI/ML engineering, data science, or software engineering.
  • Experience leading small teams or projects in AI/ML or software development.
  • Proficiency in Python, JavaScript/TypeScript, Flask/FastAPI, , React.
  • Strong experience with ML/GenAI frameworks (PyTorch, TensorFlow, Hugging Face).
  • Solid understanding of cloud platforms (AWS, GCP, Azure).
  • Familiarity with MLOps tools (Docker, Kubernetes, CI/CD, MLflow).
  • Strong communication and stakeholder management skills.
  • Bachelor's or Master's in Computer Science, Engineering, or related field.

Skills

  • AI/ML & GenAI: PyTorch, TensorFlow, Hugging Face, LangChain, Agentic AI
  • Software Development: Python, , React, FastAPI/Flask
  • Cloud & MLOps: AWS/GCP/Azure, Docker, Kubernetes, CI/CD
  • Other: Leadership, stakeholder management, project planning

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