AI Lead

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 environments.
• 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 new 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: Strong 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, GCP, Azure).
• Proven track record of building scalable AI solutions in a SaaS startup or enterprise environment.
• Hands-on experience with data pipelines, MLOps, and AI model optimization.
• Strong coding skills in Python, C++, or Java.
• Excellent team management and stakeholder communication skills.