Technical Lead

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 :

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