Job Description
Job Summary
We are looking for an experienced Deep Learning Engineer – Tech Lead to architect, lead, and deliver scalable AI solutions. This role requires strong expertise in deep learning, Generative AI, and production-grade ML systems, along with proven experience in technical leadership, system design, and mentoring teams. This position is with a leading industry organization, offered under direct payroll.
Job Description
- Lead the design and development of deep learning and Generative AI solutions for complex business problems
- Architect end-to-end AI systems from data pipelines to model deployment and monitoring
- Build and optimize LLM-based applications (RAG, fine-tuning, prompt engineering)
- Drive model performance improvements (accuracy, latency, scalability) in production
- Establish and implement MLOps best practices (CI/CD, versioning, monitoring)
- Collaborate with Product and Engineering teams to define AI strategy and roadmaps
- Ensure code quality, scalability, and system reliability
- Lead technical design reviews and architecture decisions
- Mentor junior engineers and guide best practices in AI/ML development
- Stay updated with advancements in Deep Learning, NLP, and Generative AI
Roles & Responsibilities
- Own delivery of AI/ML projects from concept to production
- Design scalable deep learning architectures (CNNs, Transformers, sequence models)
- Develop and deploy NLP, Computer Vision, or multimodal AI solutions
- Implement distributed training and optimization techniques
- Integrate AI models into applications via APIs and microservices
- Lead model evaluation, experimentation, and continuous improvement
- Manage stakeholder communication and technical decision-making
- Ensure Responsible AI practices (bias, fairness, explainability).