AI/ML Engineer – Applied Machine Learning & Automation

Location: Remote (Full-Time)

Company: H To H Partners LLP

Experience: 1–3 years

CTC: ₹2.5 – ₹4.0 Lakhs annually (performance-linked growth possible)

Openings: 2

About Us

H To H Partners LLP is a proprietary trading firm actively engaged in high-frequency trading, portfolio automation, and long-term investing in Indian equity markets. We are building a robust tech-driven trading ecosystem and are looking for smart developers who can build and scale automation tools for our internal systems.

Role Overview

We are seeking 2 full-time developers who will take ownership of designing, building, and deploying stock market automation systems using APIs, analytics platforms, and real-time data feeds.

Key Responsibilities

• Develop and maintain automated portfolio tracking dashboards

• Integrate with broker APIs (Zerodha Kite, Upstox, Alice Blue, etc.) for real-time data fetch, order execution, and MTF management

• Design and implement screeners and technical signal systems (RSI, MACD, Volume Breakouts, etc.)

• Build alert systems via Telegram/Email for trade signals

• Set up backtesting frameworks for strategy evaluation

• Deploy scalable backend systems for trade automation and logging

• Collaborate with research and trading teams for custom feature builds

Technical Skills Required

• Strong in Python (including Pandas, NumPy, and API integration)

• Experience with broker APIs (e.g., Zerodha Kite, AngelOne SmartAPI, etc.)

• Familiarity with MongoDB / PostgreSQL

• Knowledge of basic technical indicators

• Good command of Git, cloud deployment (AWS/GCP optional)

Bonus Skills (Nice to Have)

• Experience with TradingView Webhooks / Pinescript

• Telegram bot development

• Web dashboards using Flask, Streamlit, or React

Work Mode & Compensation

Full-time, remote role

6-day work week

Competitive monthly salary based on experience

Performance-based incentives available

Why Join Us?

• Direct involvement in building India's next-gen proprietary trading infrastructure

• Learn real-world applications of algo trading and quantitative research

• Work closely with traders and strategists

• Fast-paced, independent environment with ownership and learning

To Apply

Send your resume and GitHub/portfolio links to:

 info@growthguide.co.in