Data Scientist

2 days ago

bangalore, India AgileEngine Full time

🔥 AI Full Stack Team Lead- WFH THIS IS FULLY REMOTE WORKING OPPORTUNITY We 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 experience3. 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 do Lead 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 haves Knowledge of financial industry; Knowledge of Private Assets and ecosystems.

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