Python
Machine Learning (ML)JOB SKILLS & QUALIFICATIONS
WHAT YOU'LL DO
- Design model serving solutions and develop machine learning-based applications. services, and APIs so as to productionise machine learning models.
- Set and maintain engineering standards while to grow and go far.
- Partner with the Data Scientists (those who actually build, train and evaluate ML models) to provide an end-to-end solution for machine learning-based projects.
- Foster the technological evolution of services and improve their end-to-end quality attributes.
- Be committed to Continuous Integration and Continuous Deployment.
Preferred Skills
- Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others).
- Comfortable dealing with trade-offs project delivery and quality, especially those involving latency, throughput, and http://transactions.proven/">transactions.
- Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs.
- A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a advocate of code quality and continuous improvement.
- Someone interested in large-scale systems and passionate about solving complex problems while being open and comfortable with changes in the tech stack the teams use.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Latent Bridge Pvt Ltd
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Amazon Web Services (AWS)Python5+ years of hands-on strong experience in design, develop and implementation of complex software solutions using Python fast API
•LLM experience with closed source LLMs like GPT 3.5, 4, 4 – Turbo, CoHere etc
. •Excellent hands on expertise in Python coding, Pep 8 standards & best practices/design patterns, Object Oriented Design methodologies
•Hands on experience of deploying as AI/ML solutions as a service/Rest API endpoints on Cloud or Kubernetes
•Experience with development methodologies, experience in writing unit tests in Python
•Some experience with Open Source LLMs like LLAMA2, Falcon and fine tuning will be preferred.
•Experience with using PostGreSQL or any other RDBMS and SQL query writing. •Familiar with GIT Lab, CI/CD and Swagger
•Strong problem-solving and communication skills, ability to work independently and as part of Agile teams
PythonAbout 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.
PythonMachine Learning (ML)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.
PythonWe are a research and product development studio focusing on building applications powered by blockchain and AI technology.
We are looking for a DeFi Software Engineer with a deep understanding of Ethereum and tons of curiosity!
What are we building: We are building a peer-to-pool-based derivatives trading platform (perps and options) with novel mechanics where liquidity providers can choose whether they want to be actively or passively involved in making the market.
Responsibilities
1. Designing, building, and testing smart contracts and related infrastructure
2. Researching new DeFi protocols and their connectors and building on them
3. Building real-time monitoring tools and working with our team on latency-sensitive operations
4. Staying up to date on any developments in Defi relevant to the project
Qualifications
1. Must have extensive knowledge of Solidity, smart contract development (web3js or eth-brownie), testing and deploying a functioning smart contract on an EVM chain
2. Knowledge of Python (knowledge of Golang/Rust programming is pleasant to have).
3. Must be comfortable working with either eth-brownie
4. Comfortable working in a dynamic, research-oriented team with several ongoing concurrent projects
5. You look forward to working with an interdisciplinary team that longs to find solutions together.
6. Deep technical and practical understanding of DeFi protocols*
7. *Knowledge of DeFi isn't a must but it is a big plus! The number of years of experience does not matter as long as you have built complex projects from scratch, have a burning desire to learn more, constantly improve yourself, and solve tricky problems daily.
We're a small team so you can assure yourself that whatever you contribute - in terms of engineering, or otherwise - is always heard and discussed.
Benefits
1. Competitive salary and performance-based bonuses
2. Equity in the protocol
3. A unique open research environment, where everybody contributes and sees the full spectrum of our work, from inception to production
4. The chance to shape our firm's legacy and exchange knowledge with the team on every part of what we do. The role is remote. Please share GitHub profiles and details of previous projects worked on (both commercial and personal)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon