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Urgent! Generative Artificial Intelligence - (GCP) Job | Ishan Technologies

Generative Artificial Intelligence (GCP)



Job description

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.


Required Skill Profession

Other General



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