Applied Scientist
$96,388–$168,674 year
On-site · Bengaluru, Karnataka, India or Chennai, Tamil Nadu, India
Job Summary
Applied Scientist lead role focusing on Agentic AI, LLM-driven workflows, and advanced Recommendation Systems. Responsible for designing, developing, and deploying enterprise-scale AI solutions, mentoring cross-functional teams, evaluating emerging AI technologies, defining scientific roadmaps, and delivering product-focused AI initiatives that drive business impact. Emphasis on production-grade systems, MLOps, scalability, safety and governance, and collaboration with engineering, product, data science, and business stakeholders.
Required Qualifications
- 13+ years of experience in Artificial Intelligence, Machine Learning, Data Science, or Applied Research roles
- Deep expertise in Agentic AI architectures, autonomous agents, orchestration frameworks, and intelligent automation systems
- Strong hands-on experience with Large Language Models, Generative AI, prompt engineering, fine-tuning, RAG architectures, and multi-agent workflows
- Proven experience designing and deploying large-scale Recommendation Systems and personalization platforms
- Strong foundation in machine learning, deep learning, probability, statistics, optimization, and algorithm design
- Expertise in Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, or similar ecosystems
- Experience building production-grade AI systems that serve large user bases and business-critical applications
- Strong understanding of MLOps, model deployment, monitoring, and AI governance practices
- Exposure to Computer Vision technologies, image understanding, video analytics, and multimodal AI systems is highly desirable
- Knowledge of Natural Language Processing, information retrieval, semantic search, knowledge graphs, and conversational AI is a strong advantage
- Proven ability to lead cross-functional teams and influence AI strategy across an organization
- Strong communication, stakeholder management, and problem-solving skills
- Experience translating research concepts into scalable products that deliver measurable business outcomes
- Passion for innovation, experimentation, and building next-generation AI-powered experiences
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