Ishan Technologies - AI/ML Engineer - Generative AI

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.