Artificial Intelligence Engineer - GCP

Tech Lead AI & Data Services

Position Title:

TL- AI & Data Services

Function:

Technology Services Business Unit (TSBU)

Location:

Pune

About Company:

Ishan Technologies is a leading technology solutions provider dedicated to helping enterprises navigate their digital transformation journey. We specialize in building trusted, real-time, and optimized solutions that drive business outcomes. We are currently seeking a dynamic and visionary technology lead to spearhead our Artificial Intelligence and Data services vertical and shape the future of intelligent enterprises.

Role Overview:

We are urgently seeking a highly technical and experienced Tech Lead to be the lead player-coach for our AI & Data Services practice. This role is for a deeply technical expert who loves to solve complex problems, write code, and lead by example.

You will be responsible for architecting and building sophisticated AI/ML solutions on Google Cloud Platform while also guiding and mentoring a talented team. The ideal candidate is a hands-on coder and architect with a proven track record of deploying large-scale AI systems in the BFSI sector.

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.