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We are looking for

A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

Mentor and coach other team members

Evaluate the performance of NLP models and ideate on how they can be improved

Support internal and external NLP-facing APIs

Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

Proven ability to multi-task and deliver results within tight time frames

Must have strong verbal and written communication skills

Strong listening skills and eagerness to learn

Strong attention to detail and the ability to work efficiently in a team as well as individually

Hands-on experience with

NLP

Deep Learning

Machine Learning

Python

Bert

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.

Quantitative R&D Engineer

As a Quantitative R&D Engineer, you’ll explore data and design logic that becomes live trading strategies. You’ll bridge the gap between raw research and deployed, autonomous capital systems.

What You’ll Work On

• Analyze on-chain and market data to identify inefficiencies and behavioral 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.

Ideal Traits

• Strong in data structures, algorithms, and core CS fundamentals.
• Proficiency in any programming language
• Understanding of probability, statistics, or ML concepts.
• Self-driven and comfortable with ambiguity, iteration, and fast learning cycles.
• Strong interest in markets, trading, or algorithmic systems.

Bonus Points For

• Experience with backtesting or feature engineering.
• Exposure to crypto primitives (AMMs, perps, mempools, etc.)
• Projects involving alpha signals, strategy testing, or DeFi bots.
• Participation in quant contests, hackathons, or open-source work.

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.

Key Responsibilities:

-Maintain financial records and bookkeeping using Tally ERP

-Process and manage employee payroll, ensuring statutory compliance

-Handle accounts payable/receivable and assist with bank reconciliations

-Ensure accuracy in tax filings and compliance (PF, ESI, TDS)

Requirements:

-Experience: 6 months – 2 years in accounting or payroll

-Technical Skills: Proficiency in Tally ERP and payroll processing

-Knowledge: Strong understanding of accounting principles & statutory regulations

Designation: Kafka Consultant

Job Description:

• 3-8+ years of experience programming in a backend language (Java / Python), with a good understanding of troubleshooting errors.
• 5+ years of experience in Confluent Kafka / 3+ years of experience in Confluent Kafka
• Cloud Kafka, Control Central, Rest Proxy, HA Proxy, Confluent Kafka Connect, Confluent Kafka Security features
• 3-5+ years of working experience with different databases such as Oracle/Mysql/MongoDB/Snowflake/RDS databases.
• 3-5+ years of experience with AWS/GCP/Azure preferred AWS. AWS Solutions Architect certifications are preferred.
• 2+ years of experience with Monitoring tools (Prometheus, Grafana / Spl
• Proficient in building/scaling large systems end to end using Tibco BW5, BW6 or other high-performance languages,
• developer tools, CI/CD, DevOps, GitHub, Terraform, and Ansible.

• Design and build applications for the iOS platform
• Ensure the performance, quality, and responsiveness of applications
• Collaborate with a team to define, design, and ship new features
• Identifying potential problems and resolving application bottlenecks.
• Fixing application bugs before the final release.
• Publishing application on App Store.
• Maintaining the code and atomization of the application.
• Designing and implementing application updates.

• Proficient with Swift, Xcode, and Cocoa Touch.
• Experience with offline storage, threading, and performance tuning
• Familiarity with RESTful APIs to connect iOS applications to back-end services
• Knowledge of other web technologies and UI/UX standards
• Understanding of Apple’s design principles and interface guidelines
• Knowledge of low-level C-based libraries is preferred
• Familiarity with cloud message APIs and push notifications

Responsibilities

• Identify customers’ needs, clarify information, research every issue and provide solutions and/or alternatives
• Seize opportunities to upsell products when they arise
• Build sustainable relationships and engage customers by taking the extra mile
• Keep records of all conversations in our call center database in a comprehensible way
• Management and resolve customer complaints
• Sell products and place customer orders in the computer system
• Identify and escalate issues to supervisors
• Manage calls and respond to customer’s email
• Provide product and services information to customers
• Approach expected customers and give a presentation on current projects and services
• Research required information using available resources
• Document all call information according to standard operating procedures
• Recognize, document, and alert the management team of trends in customer calls
• Follow up customer calls where necessary

Qualifications and skills:

• Proficient in relevant computer applications
• 2-3 years of experience in a call center environment
• Knowledge of customer service practices and principles
• Superior listening, verbal, and written communication skills (Fluency in English, preferred American accent)
• Ability to handle the stressful situation appropriately

Job Description :

• In-depth understanding of the entire web development process (design, development and deployment)
• Experience building complex web application.
• Hands on experience with programming stacks like MEAN, MERN, LAMP
• Participate in software/product development from ideation to deployment and beyond.
• Should have good knowledge on build tools like Maven, NPM, NODEJS.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers; awareness of cross-browser compatibility issues and client-side performance considerations
• Should have a good understanding of database concepts.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with code versioning tools (such as Git, VSTS)
• Working knowledge of Agile/SCRUM development methodologies and best practices.
• Ability to understand business requirements and translate them into technical requirements
• Working on Cloud[AWS/Azure] based environment is a huge plus
• Recommending new policies, approaches, and procedures.

Responsibilities :

• Ability to work with project delivery goal as mindset.
• Use advanced modelling tools & techniques to build full stack applications.
• Strong understanding on how to document and create a functional plan for complex project.
• Knowledge of creating Information Architecture, Server Architecture & State-flow diagram to better understand complex project.
• Ability to take risks, strive for learning & implementing new practice with maintaining project deliverables.
• Be seen as a leader for a group of engineers working to quickly design, prototype and build new features per requirement.
• Strong ability to handle a naive team & able to get the required output delivered.
• Build scalable/reusable code and libraries for future use.
• Interact with other team leads and departments to accomplish a project requirement.