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As a Quantitative R&D Engineer, you’ll join the team responsible for designing, validating, and scaling trading strategies that interact directly with crypto markets.

You’ll work at the intersection of statistics, code, and markets — exploring data, prototyping logic, and building tools that convert ideas into capital allocation engines.

🔍 What You’ll Work On

• Analyze on-chain and market data to identify inefficiencies and behavioural patterns.
• Develop and prototype systematic trading strategies using statistical and ML-based techniques.
• Contribute to signal research, backtesting infrastructure, and strategy evaluation frameworks.
• Monitor and interpret DeFi protocol mechanics (AMMs, perps, lending markets) for alpha generation.
• Collaborate with engineers to turn research into production-grade, automated trading systems.
• Explore MEV, cross-chain arbitrage, and predictive modelling for on-chain behaviour.

✅ Who You Are

• You’re curious, analytical, and eager to work where code meets markets.
• You enjoy designing systems that act autonomously and uncover edge in complex, noisy data.
• You’re comfortable working in an experimental, high-ownership environment.

Ideal Traits

• Proficiency in Python and experience working with data (Pandas, NumPy, etc.)
• Understanding of probability, statistics, or ML concepts.
• Strong interest in markets, trading, or algorithmic systems.
• Self-driven and comfortable with ambiguity, iteration, and fast learning cycles.

📚 Bonus Points For

• Experience with backtesting, feature engineering, or strategy evaluation.
• Familiarity with crypto primitives (AMMs, perps, mempools, MEV, etc.)
• Projects or research involving trading bots, alpha signals, or data modelling.
• Use of on-chain analytics tools (Dune, The Graph, Nansen, etc.)
• Participation in hackathons, quant competitions, or open-source work.

🎁 What You’ll Gain

• Work on live systems that deploy real capital in 24/7 crypto markets.
• Access to proprietary infrastructure, backtesting tools, and strategy libraries.
• Mentorship from experienced quants, traders, and DeFi engineers.
• Freedom to explore, test, and scale your ideas into real-world performance.
• A high-trust, fast-moving team focused on pushing boundaries.

Job Description:-

Designation : Python Developer

Location : Indore | WFO

Skills : Python, Django, Flask, Numpy, Panda,  RESTful APIs, AWS.

Python Developer Responsibilities:- 

1. Coordinating with development teams to determine application requirements.

2. Writing scalable code using Python programming language.

3. Testing and debugging applications.

4. Developing back-end components.

5. Integrating user-facing elements using server-side logic.

6. Assessing and prioritizing client feature requests.

7. Integrating data storage solutions.

8. Coordinating with front-end developers.

9. Reprogramming existing databases to improve functionality.

10. Developing digital tools to monitor online traffic.

Python Developer Requirements:-

1. Bachelor's degree in computer science, computer engineering, or related field.

2. At Least 3+ years of experience as a Python developer.

3. Expert knowledge of Python and related frameworks including Django and Flask.

4. A deep understanding and multi-process architecture and the threading limitations of Python.

5. Familiarity with server-side templating languages including Jinja 2 and Mako.

6. Ability to integrate multiple data sources into a single system.

7. Familiarity with testing tools.

8. Ability to collaborate on projects and work independently when required.

Skills - Python, Django, Flask, Numpy, Panda,  RESTful APIs, AWS.

• Does analytics to extract insights from raw historical data of the organization. 
• Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
• Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
• Tests the short/long term impact of productized MV models on those trends.
• Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory. 

Hammoq Inc is a rapidly growing startup in the reselling sector. Our app provides product listings, cross-platform data analytics, and Cross-platform delisting as our core services.

Launched Web app in 2020 and iOS app at the start of 2021, we are continuing our exponential growth, and we were hoping you could play a core role in our mission.

Hammoq is looking for a Senior ML/Machine Vision Architect / Researcher, an expert in Deep Learning, to join our passionate developers' team to create our unique SaaS web app.

The ideal candidate will be responsible for developing new Machine Learning / Machine vision models according to the business needs. 

*What you'll do

• You’ll lead the ML R&D process at Hammoq.
• You will build ML architectures to optimise the process. 
• You'll collaborate with our hardworking, nimble, and supportive team through daily standups, company presentations, product demos, slack discussions
• You'll work on solving machine vision / Machine Learning problems and implementations.
• You'll use ML libraries of IOS and Android to build and run models on the mobile devices

Skills and expertise that will help you succeed

• Must have experience working with OpenCV, TensorFlow, and Keras environment 
• Must have the ability to develop your own models.
• Working experience of training and deploying computer vision models  
• Experience in Computer Vision and Machine Learning (including Deep Learning) algorithms. 
• Experience in image analytics - including feature extraction, object detection, classification, and tracking 
• Experience in image manipulation
• PhD in Computer Vision , Machine Learning, Machine Vision or any related field is a must.
• Strong programming skills in Python, including NumPy, Scikit Learn, Pandas, and Matplotlib 
• Self-governing analytical problem-solving skills for efficient and uninterrupted development of solutions
• Strong communications skills for an adequate description of technical concepts to others

Nice to have

• Experience in building APIs implementing ML models
• Knowledge or basic understanding of any Cloud ML technologies or Cloud ML service providers.
• Experience in the e-commerce industry