Data Scientist

🔥 AI Full Stack Team Lead- WFH THIS IS FULLY REMOTE WORKING OPPORTUNITYWe someone who can join in less than 15 days .If you are interested and fulfill the below mentioned criteria then please share below information below. 1. EMAIL ID2. Years of relevant experience 3. CCTC/ECTC4. Notice period5. Updated resume mentioning all the listed skills. Also, experience in financial domain is a huge plus so if you have that experience then mention that as well in the resume Experience Level: 7–12 yrs Location: Remote, any city in India What you will doLead the design, development, and implementation of a modular, AI-driven data extraction platform;Make key decisions around system design, model orchestration, and integration of LLM and GenAI capabilities into production workflows;AI cross functional development across the complete AI projects life cycle;Architect and deploy AI/ML models for document understanding, text extraction, and validation workflows using Python and cloud-native tooling;Manage and mentor a cross-functional team of software engineers, AI developers, and data engineers;Foster a collaborative, delivery-focused engineering culture with strong attention to quality, maintainability, and innovation;Partner with product, business and operations teams to translate requirements into technical deliverables;Communicate technical concepts, timelines, and trade-offs clearly to both technical and non-technical stakeholders;Drive alignment between client needs, product roadmap, and technical execution;Evaluate and adopt emerging AI technologies, frameworks, and LLM orchestration tools;Drive experimentation with GenAI capabilities to enhance automation, explainability, and user experience.Must haves7+ years of experience in software development;Bachelor’s or master’s degree in computer science, mathematics, engineering, or a related field;Demonstrated ability to lead a team;Have led project teams in the past under extremely fast-paced development;Ability to manage and communicate effectively with stakeholders;Proactive communication with objective approach towards project deliverables;Experience in finding patterns in data and creating statistical models, data exploration, data visualization, and data mining;Experience in developing AI and ML solutions and delivering them to production;Very good hands-on working experience in Python and NLP;Prior experience or projects in LLMs, LangChain, LangGraph, and Agentic AI is a plus;Familiarity with text processing;Understanding of good software development practices: Test-Driven Development (TDD), refactoring, pair-programming, solid design;Self-motivated, proactive, and demonstrating an exceptional drive towards delivery;Experience with cloud-based solutions, especially on Azure or Google Cloud Platform (GCP);Knowledge of DevOps practices and tools for continuous integration and deployment;Upper-intermediate English level.Nice to havesKnowledge of financial industry;Knowledge of Private Assets and ecosystems.