Senior AI/ML Engineer – Generative AI | GCP | Python | FastAPI

Senior AI/ML Engineer – Generative AI | GCP | Python | FastAPI

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About Us

Time Krishna

If you want to be part of a movement that puts independence, expression, and scale at the center — and stands against divisive, manipulative rhetoric — this is your home.

Tech Raid Inc.

Time Krishna

About the Role

AI/ML Engineer

engineering, research, and creativity

Key Responsibilities

• Design and build

  end-to-end AI/ML systems

  from experimentation to production.
• Architect, fine-tune, and deploy

  Generative AI models

  (text, image, multimodal).
• Work with

  Gemini, Imagen, Recraft, Leonardo, Stability AI, Groq

  , and other SDKs.
• Implement

  custom fine-tuning

  for domain-specific use cases.
• Build

  FastAPI

  services for model inference and orchestration.
• Develop

  Streamlit dashboards

  for visualization and rapid experimentation.
• Integrate

  LangChain

  and other orchestration frameworks for multi-LLM workflows.
• Leverage

  GCP services

  (Vertex AI, BigQuery, Cloud Run, Pub/Sub, GKE, Dataflow).
• Design

  scalable, multi-model architectures

  with fallback and ensemble strategies.
• Collaborate with data, product, and DevOps teams for AI productization.

Required Skills & Experience

• 6–10 years of hands-on experience in software engineering and ML.
• Strong proficiency in

  Python

  ,

  FastAPI

  , and

  Streamlit

  .
• Deep knowledge of

  ML lifecycle

  — training, evaluation, deployment, monitoring.
• Experience with

  Generative AI models

  (Gemini, GPT, Groq, LangChain).
• Experience with

  Image models

  (Imagen, Leonardo, Recraft, Stability AI).
• Expertise in

  model fine-tuning, optimization, and customization

  .
• Strong experience with

  GCP AI tools

  — Vertex AI, BigQuery, Dataflow, GKE, Pub/Sub.
• Familiarity with

  RAG pipelines

  ,

  embeddings

  , and

  vector databases

  .
• Strong debugging and performance optimization skills.

Good to Have

• Experience with

  multi-cloud AI

  (AWS, Azure).
• Knowledge of

  Docker/Kubernetes

  for model deployment.
• Hands-on with

  MLOps pipelines

  (MLflow, Kubeflow, Vertex Pipelines).
• Exposure to

  streaming frameworks

  (Kafka, Spark, Flink).
• Awareness of

  Responsible AI

  principles and model governance.

Soft Skills

• Creative problem-solving and research mindset.
• Ability to work independently and collaboratively.
• Strong communication for cross-functional alignment.
• Passion for exploring new AI frontiers and real-world impact.

Why Join Us

• Work at the

  frontline of Generative AI innovation

  in India.
• Be part of a

  mission-driven platform

  redefining how the world consumes and creates media.
• Collaborate with

  world-class engineers and AI experts

  .
• Build AI systems that blend

  creativity, computation, and culture

  .

How to Apply

apply now