What will you do
AI Strategy & Roadmap: Define the AI roadmap aligned with business goals and emerging tech trends.
Model Development & Optimization: Architect, train, and fine-tune AI/ML models, including LLMs, GANs, and deep learning frameworks (TensorFlow, PyTorch, JAX, etc.).
Scalability & Performance: Optimize AI pipelines for performance, efficiency, and scalability in production settings.
Team Leadership: Lead, mentor, and scale a team of AI engineers and researchers.
Cross-functional Collaboration: Work closely with engineering, product, and customer teams to integrate AI into SaaS products.
Data Strategy: Build robust data pipelines and ensure high-quality, annotated datasets for training and validation.
AI Innovation: Keep Spyne at the forefront of AI by exploring recent techniques in computer vision, NLP, and GenAI.
Stakeholder Management: Communicate AI strategy, progress, and impact effectively to leadership and investors.

What will make you successful in this role
Technical Expertise: Strong experience in computer vision, deep learning (CNNs, GANs,



transformers), and Generative AI.
Programming Proficiency: Expertise in Python, TensorFlow, PyTorch, OpenCV, and AI/ML deployment frameworks.
Scalability & Cloud AI : Experience deploying AI models at scale using AWS, Azure, or GCP.
Team Management: Proven ability to lead and scale AI teams, drive technical excellence, and mentor engineers.
Problem-Solving Mindset: Ability to break down complex problems and deliver AI solutions with real business impact.
Stakeholder Management: Solid collaboration skills with product and business teams to drive AI adoption.

What you must have
7+ years of experience in AI/ML, with at least 3 years in a leadership role.
Expertise in LLMs, Generative AI, Computer Vision, NLP, and Deep Learning .
Strong proficiency in AI frameworks like TensorFlow, PyTorch, JAX, and Hugging Face.
Experience deploying AI models in cloud environments (AWS, G

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🏢 Spyne
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