Agentic AI and Machine Learning

Who are we looking for? Agentic AI / Machine Learning

Whats the story ?

In India, there are more than 453+ million migrants. Less than 2% of this cohort uses mobile payments to send money home. While penetration of UPI and digital banking hit the ceiling, this invisible workforce that powers most of Bharat is still stuck in a cash economy and remains underbanked. branchX is India's first neobank enabling empathetic banking for migrant communities. Building banking that is meaningfully accessible to every aspiring Indian goes beyond the 9-5 bustle. If you are someone who derives fulfilment from purpose-led work with the ability to experiment, innovate, fail and iterate, branchX is the playground for you.

Location: Navi Mumbai.

About Us:

Launched in June 2020, branchX is India's first neo-banking solution, enabling empathetic banking for migrant communities. Our vision is to transform the way underbanked communities manage money with a hand-holding grid aided by intelligent technologies. Headquartered in Navi-Mumbai, we are a 100+ member impact-driven team with offices in Noida, Bangalore, Kochi, Tamil Nadu, Kolkata and other locations.

BranchX is looking for a talented AI / Machine Learning Engineer to design, develop, and deploy ML models and agentic AI solutions. The ideal candidate should have strong technical expertise in ML/DL, hands-on experience with LLMs, and the ability to build intelligent automation workflows.

Roles & Responsibilities:

Develop, train, and optimize Machine Learning and Deep Learning models

Build and integrate agentic AI workflows and LLM-based systems

Perform data preprocessing, feature engineering, and model evaluation

Deploy models to production and monitor performance

Collaborate with product, engineering, and business teams to deliver AI-driven solutions

Continuously research and implement new AI/ML techniques

Skills Required:

Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)

Experience with LLMs, NLP, RAG, conversational AI, or AI agents

Knowledge of data analysis, model tuning, and evaluation techniques

Familiarity with cloud platforms (AWS, Azure, GCP)

Understanding of APIs, model deployment, and automation workflows

Excellent problem-solving and analytical skills

Good to Have:

Experience with LangChain, OpenAI tools, or other agentic AI frameworks

Knowledge of MLOps, Docker, Kubernetes

Understanding of reinforcement learning