Project Coordinator(Non IT)

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 ethically—powering 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 : Blockchain Data & ML Engineer

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

What You’ll 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 You’ll 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: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
• Impact-Focused: Your work won’t be buried under bureaucracy. You’ll 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 solutions—not 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.

Compensation:

• INR 6 - 12 LPA
• Performance Bonuses: Linked to contribution, delivery, and impact.

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

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

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

• Seeking an Individual carrying around 5+ yrs of experience.
• Must have skills - Jenkins, Groovy, Ansible, Shell Scripting, Python, Linux Admin
• Terraform, AWS deep knowledge to automate and provision EC2, EBS, SQL Server, cost optimization, CI/CD pipeline using Jenkins, Server less automation is plus.
• Excellent writing and communication skills in English. Enjoy writing crisp and understandable documentation
• Comfortable programming in one or more scripting languages
• Enjoys tinkering with tooling. Find easier ways to handle systems by doing some research. Strong awareness around build vs buy.

SellerGeni is an early-stage VC Funded SAAS Product in the Ecommerce Growth space. Our products GrowZ and SmartPlug enable sellers on Amazon to grow their sales and improve the quality of their listings through automated tools. Our vision is to simplify Growth across all ecommerce channels. We make traffic generation as simple as launching a Shopify website. You will be working closely with key stakeholders across the organization and leading a team of motivated engineers and professionals trying to change the status quo in online business growth. Join us if you love solving real-world problems with technically robust solutions.

Open to SDE-2, SDE-3, FSE & SWE.

What you will be doing

• Write test-driven code for Client and Server side application
• Creating functional codes that implement product requirements
• Participating in the design and creation of scalable software
• Testing and fixing bugs and/or other coding issues
• Take ownership of code, tasks and system architecture
• Brainstorming to scale the system for millions of users
• Mentoring juniors and champion the Agile Development Practices

What you need to have

• Knowledge of Javascript back-end languages & frameworks (e.g NodeJS, ExpressJS, GraphQL, TypeScript etc)
• Knowledge of Javascript front-end frameworks (e.g.NextJS, ReactJS, Angular etc)
• Experience in SQL/NoSQL databases (e.g. MongoDB, MySQL, DynamoDB, etc)
• Experience in building and maintaining large-scale production (e.g Redis, Jobs, Queue, Async sockets, etc)
• Knowledge of modern javascript libraries (e.g JWT, Webpack, Browserify, jQuery, Bootstrap, Semantic etc)
• Decent understanding of networking technologies (e.g TCP, HTTP, websockets, server-sent events, etc)
• Excellent communication and teamwork skills
• Good understanding of System design, architecture and Web Security
• Knowledge of version control software like Git, Github, BitBucket

Nice to have

• GSoC (or) Open Source contributions
• Prior startup (or) SAAS product experience
• Experience with building B2B products
• Amazon SP-API, MWS and advertising API
• Consumer Web Development Experience for High-Traffic, queue based applications
• Software security and SDLC
• UI/UX Product design & decision
• Experience in development workflow integrations (e.g CI/CD, Docker, Kube, pods, etc)
• Experience in building REST APIs, server-side architecture
• Decent understanding of Cloud & DevSecOps (e.g ECS ELB, SSM, SQS, Lambda, Kafka etc)

Benefits

• Competitive Salary & Equity
• MacBook Pro
• Flexible Work Timings
• Work With Experienced Team (Ex Amazon, Paytm, Oracle & GSoCers)

Total Experience : 2-6 years Relevant Experience: 2-3+ years

Desired Candidate Profile

• 5-7 years of relevant experience in creating and executing successful B2B marketing efforts
• Bachelors/ Masters' degree in marketing or a related field
• Excellent verbal and written communication skills
• Strong analytical skills
• Prior startup/ fintech experience preferred
• Experience working with CRM and marketing automation platforms

# Excellent knowledge of accounting regulations and procedures

# Good knowledge of GST, TDS and banking

# Hands-on experience with accounting software

# Advanced MS Excel skills including Vlookups and pivot tables

# Experience with general ledger functions

# Strong attention to detail and good analytical skills