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Urgent! Ishan Technologies - Technical Lead - Artificial Intelligence Engineer - Google Cloud Platform Job Opening In Pune – Now Hiring Ishan Technologies

Ishan Technologies Technical Lead Artificial Intelligence Engineer Google Cloud Platform



Job description

<p><p><b>Role Overview : </b><br/><br/>- We are urgently seeking a highly technical and experienced Tech Lead to be the lead player-coach for our AI & Data Services practice.<br/><br/>- This role is for a deeply technical expert who loves to solve complex problems, write code, and lead by example.<br/><br/>- You will be responsible for architecting and building sophisticated AI/ML solutions on Google Cloud Platform while also guiding and mentoring a talented team.<br/><br/>- 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.<br/><br/><b>Key Responsibilities : </b><br/><br/>- 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.<br/><br/>- 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.<br/><br/>- Technical Mentorship : Act as the lead technical mentor for the AI & Data team.<br/><br/>- Conduct code reviews, establish best practices in software engineering and MLOps, and guide engineers in solving complex technical challenges.<br/><br/>- Client Technical Advisory : Serve as the primary technical expert during client engagements.<br/><br/>- Directly interface with client-side architects and engineers to design and troubleshoot complex systems for national and international clients.<br/><br/>- 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.<br/><br/>- Performance Optimization : Identify and resolve performance bottlenecks in data processing, model training, and inference to ensure solutions are highly optimized and efficient.<br/><br/><b>Must-have Skills & Qualifications : </b><br/><br/>- 5+ years of demonstrable hands-on experience designing, building, and deploying mission-critical AI, Machine Learning, and Data Analytics systems.<br/><br/>- Expert-level proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).<br/><br/>- 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.<br/><br/>- Must have a background in the technology services or consulting industry with a portfolio of successfully delivered projects.<br/><br/>- Significant hands-on project experience within the Banking, Financial Services, and Insurance (BFSI) sector is mandatory.<br/><br/>- Proven ability to lead technical delivery for large-scale enterprise projects while remaining deeply involved in the implementation details.<br/><br/>- Strong practical experience with Agile methodologies , CI/CD pipelines, and MLOps principles.<br/><br/>- A true "player-coach" mindset with a passion for building great technology and mentoring others to do the same.<br/><br/><b>Good-To-Have (Preferred) : </b><br/><br/>- Hands-on experience with the NVIDIA technology stack (e.g., CUDA, cuDNN, Triton Inference Server) is a significant plus.<br/><br/>- Experience with containerization and orchestration technologies like Docker and Kubernetes.<br/><br/>- Contributions to open-source projects in the AI/ML space.<br/><br/><b>Why Join us?</b><br/><br/>- Build and lead tech solutions that power cutting-edge AI platforms.<br/><br/>- Work in a cloud-native product environment with full lifecycle ownership.<br/><br/>- Be part of a cross-functional innovation lab solving meaningful problems.<br/><br/>- Competitive salary, flexible work culture, and leadership growth opportunities.<br/><br/>- Exposure to enterprise clients, modern architecture, and AI-first development<br/><br/></p><br/></p> (ref:hirist.tech)


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