Posted 15h ago
Data Scientist
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What this role pays, in context
This listing pays 399% above the median for Data Scientist roles in India, which sits at ₹5.1L a year.
25th pct ₹3.4L75th pct ₹5.8L
Median of 14 other live Data Scientist listings in India on this board that state pay. Roles that do not disclose a salary are excluded rather than counted as zero.
We are looking for a Senior Data Scientist with strong tech-led capabilities to spearhead our AI and machine learning initiatives end to end. This is not a pure research role — you will architect, build, and ship production-grade AI systems while mentoring a multidisciplinary team of data scientists and ML engineers. The ideal candidate brings deep, hands-on expertise across Large Language Models (LLMs), Vision-Language Models (VLMs), Computer Vision (CV), and classical ML, combined with a strong understanding of system architecture, scalable infrastructure, and MLOps. You will serve as the technical authority on all things AI — from selecting the right model architecture to designing the serving layer and ensuring reliability in production.
Responsibilities
- Lead the end-to-end design, development, and deployment of AI/ML solutions across LLM, VLM, computer vision, and traditional ML domains.
- • Define and own the AI/ML technical architecture — model pipelines, training infrastructure, feature stores, and serving systems.
- • Build and fine-tune Large Language Models (LLMs) and Vision-Language Models (VLMs) for domain-specific applications (e.g., RAG, agents, multimodal understanding).
- • Design and deploy production-grade computer vision systems (object detection, segmentation, OCR, video analytics) at scale.
- • Develop and maintain classical ML models (regression, classification, clustering, time-series forecasting, recommendation engines) where appropriate.
- • Architect scalable, low-latency model serving infrastructure for both batch and real-time inference workloads.
- • Establish best practices for experiment tracking, model versioning, A/B testing, reproducibility, and documentation across the team. • Mentor and technically lead a team of data scientists and ML engineers, conduct architecture reviews, design discussions, and code reviews.
- • Collaborate closely with Product, Engineering, and Business teams to translate complex business problems into well-defined AI solutions.
- • Evaluate and integrate emerging AI technologies, frameworks, and research papers into the product roadmap.
- • Champion responsible AI — fairness, bias detection, explainability, and compliance with data privacy regulations.
- • Communicate technical strategies, trade-offs, and results to senior leadership and non-technical stakeholders.
Requirements
- • 8+ years of hands-on experience in data science, machine learning, or AI engineering, with at least 2–3 years in a tech lead or senior IC capacity.
- • Deep expertise in LLMs — fine-tuning (LoRA, QLoRA, PEFT), prompt engineering, RAG pipelines, embedding models, and LLM evaluation frameworks.
- • Strong hands-on experience with Vision-Language Models (VLMs) such as LLaVA, GPT-4V, Gemini, or similar multimodal architectures.
- • Proven track record in computer vision — CNNs, transformers (ViT, DETR, SAM), object detection (YOLO, Faster R-CNN), segmentation, OCR, and video understanding.
- • Solid command of classical ML techniques — ensemble methods, gradient boosting (XGBoost, LightGBM), Bayesian methods, and time-series modeling.
- • Strong proficiency in Python and ML/DL frameworks (PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or equivalent).
- • Production ML experience — building, deploying, and monitoring models in real-world systems with SLA requirements.
- • Excellent communication skills with the ability to translate complex AI concepts for diverse audiences.
- • Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field preferred.