Lead Data Scientist
Fractal Analytics21 hours ago
Pune, India +2 moreStaff+
Responsibilities
- Design scalable, secure, cost-effective end-to-end Generative AI solution architectures.
- Architect solutions using LLMs, RAG, AI agents, vector databases, multimodal models, and cloud services.
- Define technical blueprints, architecture diagrams, deployment strategies, and MLOps/LLMOps pipelines.
- Design prompt engineering, fine-tuning, model optimization, monitoring, observability, and evaluation strategies.
- Gather business requirements and translate them into technical solutions through client workshops, discovery sessions, and architecture reviews.
- Support pre-sales activities, RFP responses, solution demonstrations, and proposal creation.
- Present AI strategies and solution roadmaps to executives and stakeholders.
- Establish responsible AI, security, privacy, compliance, risk management, and governance practices.
- Guide data scientists, ML engineers, and software development teams and review solution designs and implementation approaches.
- Drive innovation and AI adoption while staying current with emerging Generative AI technologies and industry trends.
Requirements
- Bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 10–15+ years of experience in software engineering, cloud architecture, or AI.
- 3–5+ years of experience in AI/ML solution architecture.
- Expertise in Generative AI, LLMs, RAG, AI agents, machine learning, and deep learning.
- Experience with Python, SQL, LangChain, LangGraph, LlamaIndex, CrewAI, vector databases, AWS, Azure, GCP, Docker, Kubernetes, MLOps, and LLMOps.
- Experience architecting solutions with GPT, Claude, Gemini, Llama, Mistral, and open-source LLMs.
- Strong solution design, architecture, client communication, stakeholder management, leadership, mentoring, presentation, and consulting skills.
- Relevant AWS Solutions Architect, Azure AI Engineer, Azure Solutions Architect, Google Professional Cloud Architect, Databricks, or Snowflake certifications are preferred.
Categories
Solutions Engineering
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.