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One of our client is hiring for Tech Lead (AI/ML)
Key Responsibilities
- Define and execute the engineering roadmap aligned with company goals and product strategy.
- Lead, mentor, and grow a high-performing, cross-functional engineering team (backend, frontend, MLOps, DevOps, QA).
- Collaborate closely with product, data science, and design teams to deliver AI-powered products at scale.
- Ensure best practices in architecture, code quality, security, and performance.
- Own the full lifecycle of engineering initiatives from concept to deployment and iteration.
- Make key build vs. buy decisions and guide technology stack evolution.
- Champion a culture of innovation, collaboration, and continuous learning.
- Establish KPIs and metrics to measure engineering effectiveness and product reliability.
Requirements
- 10+ years of engineering experience, including 5+ years in leadership roles.
- Proven experience building and scaling high-performing engineering teams.
- Deep technical expertise in AI/ML systems, cloud platforms (AWS, GCP, Azure), and modern software development practices.
- Proficiency in Python, Go, Java, or similar; familiarity with ML frameworks (TensorFlow, PyTorch) is a plus.
- Strong knowledge of system architecture, distributed systems, and data infrastructure.
- Excellent communication, stakeholder management, and decision-making skills.
- Experience in a fast-paced startup or scale-up environment.
Preferred Qualifications
- Background in AI research or data science.
- Experience working with LLMs, NLP, or computer vision applications.
- Previous experience in a B2B SaaS or AI product company.
- Advanced degree in Computer Science, Engineering, or related field.
