We are looking for an experienced Senior Technical Lead with 8 -15 years of expertise in software engineering, strong backend development skills, and hands-on experience in leading AI and machine learning initiatives. This role is instrumental in shaping and delivering innovative, enterprise-grade AI solutions across diverse domains in the US and UAE.
The ideal candidate will bring deep technical knowledge, robust problem-solving capabilities, and leadership experience to guide end-to-end AI solution development from architecture and design to deployment and scale.
Key Responsibilities :
- Lead the design, development, and deployment of AI and machine learning solutions within scalable microservices-based architectures.
- Architect and build backend systems and APIs using modern frameworks and tools (e.g., Python, FastAPI / Flask, Docker, Kubernetes).
- Collaborate with cross-functional teams (data scientists, product managers, DevOps engineers) to translate business needs into high-performing AI applications.
- Guide technical roadmap development for AI initiatives, including LLMs, fine-tuning, and agentic AI systems.
- Own the end-to-end ML lifecycle from data acquisition, preprocessing, model training, evaluation, deployment, and monitoring.
- Implement CI / CD pipelines, DevOps / MLOps best practices, and robust testing frameworks.
- Leverage cloud platforms (AWS preferred) for scalable infrastructure and deployment, ensuring cost efficiency and security compliance.
- Stay up-to-date with advancements in AI / ML and backend engineering, and recommend the adoption of emerging technologies where applicable.
- Communicate complex technical concepts to senior stakeholders and non-technical audiences effectively.
Core Technical Skills :
Strong proficiency in Python (must-have) with experience in FastAPI or Flask for building scalable APIs and microservices.Solid hands-on experience with Docker and Kubernetes for deploying and managing distributed systems.Experience implementing CI / CD pipelines and following best practices in DevOps and MLOps workflows.Experience delivering end-to-end ML solutions, including LLM fine-tuning, small language model optimization, and building agentic AI systems.Good to have :
Proven track record in defining and developing end-to-end Machine Learning, Deep learning and Generative AI solutions, from conception to deploymentExperience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contextsExperience in mentoring junior team members, and guiding them on creating end to end AI solutions(ref : hirist.tech)