AI Lead

2 days ago

Gurugram, India Spyne Full time

Job Description 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.

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