AI / ML Developer - Google cloud Platform

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.