Associate Product Manager

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.

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

Required Technical Skills

 Experience required: 5-8 yrs.  Minimum 5 years of ServiceNow Design and Development experience apart from

support/admin.  Good to have any #ServiceNow Implementation Specialist Certification or Application

Developer Certification.  #ITSM/ #ITBM/ #ITOM/ #SecurityOps/ #grc development experience (Good to have).  Hand on experience in Integration of third-party API's - Primary skills: ServiceNow

#ITSM/GRC Dev engineer.  Must be CSA certified and great plus if certified as Implementation specialist.  Hands On Experience in #Integration of #API's. Preferred

 Minimum years of experience: 3 years in ServiceNow development

Certification is mandatory - #CAD Custom Application Development

                          PENTOZ is a leading business innovation firm for new business idea. More than 2500+ people world wild are ready forging their own path to success. We offer opportunities, the support of a corporation that is family owned, that is financially stable and has been in business for over 6 year. PENTOZ is a global community, operating in more than 100 countries and territories, ready to offer support and a compensation plan that has paid out more bonuses than any other direct selling company.

Roles and responsibilities:      

·        Actively seek out new sales opportunities thought cold calling, networking and social media.

·        Set up meeting with potential client and listen to their wisher and concerns.

·        Prepare and deliver appropriate presentations on services.

·        Create frequent review and report with sales and financial data.

·        Negotiate\Close deals and handle complains or objections and Collaborate with team members to achieve better result.

·        Gather feedback from customers or prospects and share with internal team.

·        The main focus will be selling technology services and Negotiating and closing multiple sales deals to achieve high revenue.

·        Ability to approach and engage potential customers with excellent interpersonal skills by submitting monthly and annual territory analyses, daily call reports, weekly work plans, monthly and annual performance reports, you keep management updated.

·        Retaining position relationship with clients so that future sales will be assured, Focuses on maximizing sales by studying potential and existing dealer volumes.

·        Conduct virtual meet-up to build new business relationship.

·        Increase your productivity by integrating the appropriate technologies into your sales activities.

       Sales Representative Qualifications/Skills

·        Customer service

·        Meeting sales goals

·        Closing skills

·        Territory management

·        Prospecting skills

·        Negotiation

·        Self-confidence

·        service knowledge

·        Presentation skills

·        Client relationships

·        Motivation for sales

Education, Experience, and Licensing Requirements:

·        12+ and any degree University degree with a concentration in marketing, promotions, advertising sales, or business administration preferred.

·        One to three years of IT Service based sales experience.

                  Our Company motivation:

                       “IF OPPORTUNITY DOESN’T KNOCK, BUILD A DOOR.”

About Solveasy

Headquartered in Delhi, and coming from a legal background, Solveasy is an end-to-end digital debt collection agency with a platform for debt resolution, collections, and recovery. We create custom debt collection software, including account receivable management, credit and risk management, analytics, and reporting. Solveasy also develops workflow automation solutions with integrated payment processing. Our platform will adapt to consumer behavior with personalized and empathetic communications to deliver the right payment option at the right time and channel. We aim to work with top financial institutions, enterprise companies, and upcoming businesses to recover billions in lost revenue

Responsibilities

• Own end-to-end product features from ideation, automated testing, and implementation to deployment and monitoring.
• Embrace "You build it, You run it" with ownership of the entire infrastructure across multiple deployment environments.
• Continuously learn new domain and technical concepts to maintain a deep understanding of the product strategy and system architecture.
• Leverage diverse partners in a multi-cloud ecosystem to maximize productivity and empower businesses to focus on building our core intellectual property.
• Improve our code standards, maintainability, developer experience, data privacy, security, scalability, resilience and fault tolerance.
• To work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works in the backend.
• Implement entirely new tools and applications using a modern technology stack.
• Work closely with TPM and our clients to collaborate on requirements.

Skills Needed

• Experience with JavaScript frameworks is required.
• Proficient understanding of web markup, including HTML5, CSS3
• Basic understanding of server-side CSS pre-processing platforms such as LESS and SASS
• Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery
• Good understanding of (Depending on the specific case, a developer should have the knowledge of advanced JavaScript libraries and frameworks, such as AngularJS, KnockoutJS, BackboneJS, ReactJS, DurandalJS etc.)
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Basic knowledge of image authoring tools, to be able to crop, resize, or perform small adjustments to an image. Familiarity with tools such as Gimp or Photoshop is a plus.
• Proficient understanding of cross-browser compatibility issues and ways to work around them.
• Proficient understanding of code versioning tools, such as (Git / Mercurial / SVN)
• Good understanding of SEO principles and ensuring that application will adhere to them.

Type of opportunity: Fulltime; candidate may be required to relocate onsite to Delhi NCR

Post Qualification Experience: Freshers are eligible to apply so long as they have the required skills and project work experience.

Building web application front end & backend

React

Spring Core, Spring MVC

Spring Boot

Spring Webflux/Reactive

Mongo DB/Cassandra

HTML, CSS, Javascript,

Cloud Basics (AWS/GCP/Azure)

Cloud Functions (AWS/GCP/Azure)