AI/ML Architect

Job Title:

Location:

Office No. Unit No. 506, 5th Floor, Solitaire Business Hub, Survey Number: 27/1,

Balewadi High Street, Baner, Pune, Maharashtra 411045

Company:

About ImmersiveData.AI

ImmersiveData.AI

We’re on a mission to build intelligent, immersive, and human-centric AI solutions that empower businesses to make smarter decisions and drive real-world impact.

AI/ML models, Generative AI, and next-gen Agentic AI systems

If you thrive on building scalable AI architectures and enjoy leading teams at the frontier of AI innovation, we’d love to meet you.

Role: AI/ML Architect

AI/ML Architect

You’ll play a key role in shaping ImmersiveData.AI’s AI ecosystem — from concept to deployment — and ensure that our AI solutions are robust, efficient, and enterprise-ready.

What You’ll Do

• Architect, design, and implement 

  scalable AI/ML systems

   and data pipelines.
• Lead end-to-end 

  ML lifecycle

  , from data ingestion and feature engineering to model training, evaluation, and deployment.
• Design and optimize 

  Generative AI and Agentic AI

   systems tailored for real-world business applications.
• Collaborate with product managers, engineers, and stakeholders to translate business problems into technical AI solutions.
• Evaluate and integrate 

  LLMs, RAG pipelines, vector databases, and embeddings

   into production systems.
• Define 

  ML Ops best practices

  , including model versioning, monitoring, and continuous improvement.
• Mentor junior AI/ML engineers and guide technical implementation across teams.
• Stay ahead of emerging AI/ML trends, frameworks, and tools to drive innovation.

What We’re Looking For

• 5–7 years

   of professional experience in AI/ML system design, development, and deployment.
• Proven expertise in 

  Python

  , 

  PySpark

  , and modern ML frameworks (TensorFlow, PyTorch, or similar).
• Deep understanding of 

  AI system architecture

  , model optimization, and large-scale data processing.
• Hands-on experience with 

  Generative AI (LLMs, embeddings, prompt engineering, RAG)

   and 

  Agentic AI

   frameworks.
• Strong foundation in 

  data engineering

  , 

  cloud platforms (AWS/GCP/Azure)

  , and 

  containerization (Docker/Kubernetes)

  .
• Experience with 

  MLOps

  , model lifecycle management, and CI/CD pipelines for AI projects.
• Ability to lead technical discussions, make architectural decisions, and guide teams through complex problem-solving.
• Passion for innovation, learning, and driving AI systems from concept to production.

Why Join Us?

• Lead 

  cutting-edge AI/ML and GenAI initiatives

   that deliver real-world impact.
• Collaborate with a high-performing, innovation-driven team.
• Opportunity to 

  architect next-generation AI systems

   using the latest in GenAI, Agentic AI, and LLM technologies.
• Culture that values 

  curiosity, autonomy, and continuous growth

  .
• A chance to 

  shape the AI vision

   of a fast-scaling company.