Senior Technical Lead

3 days ago

Kochi, India SS Consulting Full time

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 deployment

- Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contexts

- Experience in mentoring junior team members, and guiding them on creating end to end AI solutions


(ref:hirist.tech)

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