Blockchain Data & ML Engineer - Pandas/Numpy

About Us :

Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance.

As a sister company of Deqode a 400+ person blockchain innovation powerhouse we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build :

- Alpha Discovery via On Chain Intelligence Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.

- DeFi-Native Execution Agents Automated systems that execute trades across decentralized platforms.

- ML-Augmented Infrastructure Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.

- High-Throughput Systems Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response

- Data-Driven MEV Analysis & Strategy We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethicallypowering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process :

- HR Discussion A brief conversation to understand your motivation and alignment with the role.

- Initial Technical Interview A quick round focused on fundamentals and problem-solving approach.

- Take-Home Assignment Assesses research ability, learning agility, and structured thinking.

- Assignment Presentation Deep-dive into your solution, design choices, and technical reasoning.

- Final Interview A concluding round to explore your background, interests, and team fit in depth.

- Optional Interview In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

Job Description :

As a Blockchain Data & ML Engineer, youll work on ingesting and modelling on-chain behaviour, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction.

What Youll Work On :

- Build and maintain ETL pipelines for ingesting and processing blockchain data.

- Assist in designing, training, and validating machine learning models for prediction and anomaly detection.

- Evaluate model performance, tune hyperparameters, and document experimental results.

- Develop monitoring tools to track model accuracy, data drift, and system health.

- Collaborate with infrastructure and execution teams to integrate ML components into production systems.

- Design and maintain databases and storage systems to efficiently manage large-scale datasets.

Ideal Traits :

- Strong in data structures, algorithms, and core CS fundamentals.

- Proficiency in any programming language

- Familiarity with backend systems, APIs, and database design, along with a basic understanding of machine learning and blockchain fundamentals.

- Curiosity about how blockchain systems and crypto markets work under the hood.

- Self-motivated, eager to experiment and learn in a dynamic environment.

Bonus Points For :

- Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.

- Side projects involving automated ML workflows, ETL pipelines, or crypto protocols.

- Participation in hackathons or open-source contributions.

What Youll Gain :

- Cutting-Edge Tech Stack : You'll work on modern infrastructure and stay up to date with the latest trends in technology.

- Idea-Driven Culture : We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.

- Ownership & Autonomy : Youll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.

- Impact-Focused : Your work wont be buried under bureaucracy. Youll see it go live and make a difference in days, not quarters

What We Value :

- Craftsmanship over shortcuts : We appreciate engineers who take the time to understand the problem deeply and build durable solutionsnot just quick fixes.

- Depth over haste : If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.

- Invested mindset : We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.

- Curiosity with follow-through : We admire those who take the time to explore and validate new ideas, not just skim the surface.