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Artificial Intelligence Engineer - GCP

Artificial Intelligence Engineer - GCP

Ishan TechnologiesPune, Maharashtra, India
5 hours ago
Job description

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.
  • Technical Mentorship : Act as the lead technical mentor for the AI & Data team. Conduct code reviews, establish best practices in software engineering and MLOps, and guide engineers in solving complex technical challenges.
  • 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 :

  • 5+ 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) sector is mandatory.
  • 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.
  • A true "player-coach" mindset with a passion for building great technology and mentoring others to do the same.

    • 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.

    • Why Join us?

  • Build and lead tech solutions that power cutting-edge AI platforms.
  • Work in a cloud-native product environment with full lifecycle ownership.
  • Be part of a cross-functional innovation lab solving meaningful problems.
  • Competitive salary, flexible work culture, and leadership growth opportunities.
  • Exposure to enterprise clients, modern architecture, and AI-first development.
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    Artificial Intelligence Engineer • Pune, Maharashtra, India