Please find the below details :

Role : Data Science Lead

Experience : 4-7 years

Location : Delhi

Mode : WFO (5 days)

JOB DESCRIPTION :

Fine-tune and optimize large pre-trained models (LLMs, multimodal, CV, and NLP).
Build embeddings and semantic search capabilities tailored for Indian menus, languages, and cuisines.
Develop advanced suggestion and personalization engines leveraging ML and deep learning.
Architect, deploy, and scale AI/ML models on cloud environments (AWS/GCP/Azure).
Ensure reliability, latency optimization, and high availability of production AI services.
Implement monitoring, retraining pipelines, and continuous improvement of deployed models.
Lead initiatives to add voice-based ordering and interactions across customer and merchant platforms.
Build hybrid AI systems (e.g., combining CV, NLP, and voice).
Explore retrieval-augmented generation (RAG) and vector databases for domain-specific intelligence.
Work closely with cross- functional teams to translate business problems into AI/ML solutions.
Own the roadmap for AI capabilities across fraud detection, personalization, menu intelligence, and beyond.

Education :

Masters or PhD in AI, Computer Science, Data Science, Statistics, or a related field.
Prior leadership experience in AI/ML projects or managing small data science/AI teams.
Experience with reinforcement learning, generative AI, or LLM-based applications.

Must-have attributes/ Technical skills :

4+ years of experience in AI/ML engineering, model development, and applied AI solutions.
Strong background in Python, TensorFlow, PyTorch, Scikit-learn, and ML frameworks.
Proven experience in LLM finetuning, embeddings, and semantic search.
Hands-on expertise with vector databases (Pinecone, Weaviate, FAISS, Milvus).
Strong experience deploying models on cloud environments and managing MLOps workflows.
Experience with recommendation engines, personalization algorithms, and fraud analytics.
Knowledge of ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) for voice AI.
Solid understanding of microservices, API integrations, and distributed systems.
Demonstrated leadership abilityexperience mentoring teams and delivering large-scale AI projects

Data Science Specialist