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.