Generative Artificial Intelligence

2 weeks ago

Ahmedabad, Gujarat, India Ishan Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title :
AI/ML Engineer (GenAI) - GCP

Employment:
Full time

Location:
Ahmedabad (Onsite)

Years Experience:
4+ Years

Role Overview:

We are urgently seeking a highly skilled and motivated
AI/ML Engineer
to join our AI & Data Services practice. This role is for a deeply technical professional who loves solving complex problems, writing clean and efficient code, and building innovative solutions.

You will be responsible for
designing, developing, and deploying AI/ML solutions on Google Cloud Platform (GCP)
while collaborating with cross-functional teams to deliver impactful outcomes.

Key Responsibilities:

  • Hands-on Solution Architecture
    : Architect, design, develop, and deploy end-to-end, production-grade AI/ML and data analytics solutions on GCP. This includes writing code for critical modules and frameworks.
  • Technical Implementation:
    Lead the implementation of complex projects, including building scalable data pipelines, developing and optimizing ML models, and ensuring the technical integrity of the final solution.
  • Client Technical Advisory:
    Serve as the primary technical expert during client engagements. Directly interface with client-side architects and engineers to design and troubleshoot complex systems for national and international clients.
  • Prototyping & Innovation:
    Lead proof-of-concept (PoC) development and rapid prototyping to demonstrate the feasibility of new AI solutions and technologies for enterprise-scale problems.
  • Performance Optimization:
    Identify and resolve performance bottlenecks in data processing, model training, and inference to ensure solutions are highly optimized and efficient.

Must-have Skills & Qualifications:

  • 3+ years of demonstrable hands-on experience designing, building, and deploying mission-critical AI, Machine Learning, and Data Analytics systems.
  • Expert-level proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
  • Deep, hands-on expertise with the Google Cloud Platform (GCP) with proven experience using services like
    Vertex AI, BigQuery, Google Kubernetes Engine (GKE),
    Dataflow, and Pub/Sub in production environments.
  • Must have a background in the technology services or consulting industry with a portfolio of successfully delivered projects.
  • Significant hands-on project experience within the Banking, Financial Services, and Insurance (BFSI).
  • Proven ability to lead technical delivery for large-scale enterprise projects while remaining deeply involved in the implementation details.
  • Strong practical experience with Agile methodologies, CI/CD pipelines, and MLOps principles.

Good-To-Have (Preferred):

  • Hands-on experience with the NVIDIA technology stack (e.g., CUDA, cuDNN, Triton Inference Server) is a significant plus.
  • Experience with containerization and orchestration technologies like Docker and Kubernetes.
  • Contributions to open-source projects in the AI/ML space.

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