Python & NLP Lead Engineer- WFH

AI Full Stack Team Lead- WFH

THIS IS FULLY REMOTE WORKING OPPORTUNITY

We someone who can join in less than 15 days .

Pls read the JD carefully and only proceed if you have the relevant experience.

If you are interested and fulfill the below mentioned criteria then please share below information below.

1. EMAIL ID

2. Years of relevant experience

3. CCTC / ECTC

4. Notice period

5. 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

Must Haves : skills for the Team Lead :

At least a 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.

Main Tasks :

A modular, AI-enabled platform supporting end-to-end document and data workflows.

Streamlines ingestion, extraction, and validation of fund and asset-level documents

• .Empowers clients to self-onboard, monitor data completeness, and configure delivery pipelines

Integrates LLM / GenAI features for automation, prioritization, and explainability

Nice to Have

Knowledge of financial indus

tryKnowledge of Private Assets and ecosystems