Customer Success manager

Position : Java NLP Engineer

Location : Remote/Bangalore/Pune

Experience : 2+ Years

Responsibilities :

• Design and develop NLP solutions using Java or transition to Java-based development.
• Utilize NLP libraries like Stanford NLP, SpaCy, NLTK, or OpenNLP.
• Perform tasks like POS Tagging, Lemmatization, Dependency Parsing, and Phrase Chunking.
• Implement advanced NLP techniques, including text summarization and knowledge extraction.
• Develop rule-based NLP systems and analyze textual data.
• Apply graph algorithms to tasks such as semantic analysis and knowledge representation.
• Leverage resources like WordNet or ConceptNet for language models.
• Conduct information extraction using regular expressions.

Requirements :

• 2+ Years of experience in NLP (industry or academic).
• Proficiency in Java or readiness to adopt Java-based workflows.
• Expertise in syntactic analysis and NLP frameworks.
• Experience with text datasets and building NLP pipelines.
• Knowledge of graph algorithms and lexical databases (WordNet/ConceptNet preferred).
• Strong skills in crafting regular expressions for text extraction.
• Collaborative mindset with excellent problem-solving abilities.

10+ years experience in data engineering or backend engineering

2+ years in a technical leadership or team-lead role

Expert-level experience with Kafka for high-throughput streaming systems

Strong hands-on expertise with PySpark for distributed data processing

Advanced experience with AWS Glue for ETL orchestration and metadata management

Proven experience building and upgrading real-time data lakes at scale

Hands-on knowledge of data warehouses such as Redshift or Snowflake

Experience with AWS services including S3, Kinesis, Lambda, and RDS

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.

·      7+ years of professional experience in front-end development.

·      5+ years of hands-on experience with React.js and its ecosystem (Redux, Context API, Hooks, etc.)

·      Strong understanding of JavaScript (ES6+), HTML5, and CSS3.

·      Experience with RESTful APIs, GraphQL, and WebSocket integration.

·      Proficiency in modern build tools (Webpack, Vite, Babel, etc.).

·      Expertise in state management libraries (Redux, MobX) and React Query.

·      Solid understanding of UI/UX principles and responsive design.

·      Experience with testing frameworks (Jest, React Testing Library, Cypress, etc.).

·      Familiarity with modern CI/CD pipelines and version control tools (Git).

What you need to have:

Responsibilities:

·       Analyze, design and support implementation of business specific Pega solutions and/or framework

·       Responsible for implementing technical solutions on Pega 8.x

·       Ability to create reusable components that can be leveraged across the enterprise for providing top-notch user experience

·       Ability to translate complex business requirement into functional technical requirements using Pega Systems Smart BPM methodology and DCO tools

·       Good hands on implementing PEGA integration services using REST, SOAP, Email etc. Good understanding of PEGA case management features

·       Design and implement product features in collaboration with business and IT stakeholders

·       Design reusable components, frameworks and libraries

·       Ability to interact with business analysts and business team members to refine requirements, Use Cases

·       Perform all phases of software engineering including requirements analysis, application design, code development and testing

·       Work very closely with architecture groups and drive solutions

·       Participate in an Agile / Scrum methodology to deliver high-quality software releases

·       Design and develop innovative solutions to meet the needs of the business

·       Review code and provide feedback relative to best practices and improving performance

·       Troubleshoot production support issues post-deployment and come up with solutions as required

·       Mentor and guide other software/Pega engineers within the team

·       Experience with troubleshooting Production log files and performance issues

·       Responsible for unit testing more complex individual and team deliverables based on established test plans

·       Responsible for ensuring an efficient integration of programming deliverables timely builds and overall code quality

·       Contributes to the delivery of new applications and to the maintenance and enhancement of existing applications with shared responsibility for the technical issues

Experience and Qualifications:

·       Bachelor’s Degree in computer science, or Information Systems or Engineering is required, else in lieu, a demonstrated equivalence in work experience is mandatory.

·       Pega Systems Certified Senior System Architect (CSSA)

·       5+ Years of Experience on Pega PRPC (8.x/7.x versions) and Frame worked Case Management

·       In-Depth knowledge of Pega Upgrades, Integration, Performance Management and all Pega relevant Tools

·       Ability to negotiate and allocate resources appropriately for development and implementation

·       Excellent written, communication and presentation skills