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Lead AI Solutions Engineer
2 weeks ago
- Lead the development and deployment of cutting-edge AI solutions within the organization.
- Guide and mentor a high-performing AI/ML engineering team.
- Architect scalable, reliable, cloud-native AI solutions adhering to industry standards.
- Drive end-to-end development of flagship AI projects, including POCs and prototypes.
- Collaborate with cross-functional teams to define requirements and ensure technical feasibility.
- Lead R&D initiatives to explore emerging Gen AI, NLP, and automation technologies.
- Ensure best practices in Agile, DevOps, and CI/CD are adopted across the team.
- Oversee the deployment of AI models on cloud platforms like AWS, Azure, or GCP.
- Optimize, tune, and validate ML/NLP models for production readiness.
- Maintain high standards for technical documentation, reporting, and knowledge sharing.
- Act as the technical interface for stakeholders, communicating project progress and risks.
- Possess 5 to 8 years of AI/ML experience, with 2 years in a leadership or senior role.
- Have proven expertise in designing and deploying cloud-native AI applications.
- Proficient in Python and libraries such as TensorFlow, PyTorch, and NLP tools.
- Deep understanding of AI/ML concepts, including agentic AI, Gen AI, OCR, NLP, and retrieval tasks.
- Strong leadership skills with the ability to motivate and guide technical teams.
- Experienced in creating scalable architectures, workflows, and process flows.
- Skilled in troubleshooting, analytical thinking, and problem-solving.
- Excellent communicator capable of explaining complex concepts to non-technical stakeholders.
- Stay updated with industry trends and lead innovative R&D efforts in AI and automation.
- Candidate should be graduate /post-graduate with strong academic record and minimum of 9-10 years of experience with 4-6 years working as Technical Lead.
- Experience in .Net and SQL skills at minimum 2-3 years.
- Engineering from a Tier-1/Tier-2 institute will be preferred.
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