Sales Executive

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.

 Looking for Python with React.

Python frameworks like Django or Flask.

Develop RESTful APIs or GraphQL endpoints

• Being involved in various day-to-day activities such as order punching, order processing, shipping plans, order tracking, sharing delivery status etc. and also handling any order issues
• Answering customer queries on information including but not limited to, order status, shipment dates etc.
• Responding to customers in a courteous and timely manner
• Ensuring the terms and conditions while managing various customer orders from processing to delivery
• Updating and maintaining relevant data and reporting the same to the company in regular intervals

What you must have:

• Graduation is a must
• 3– 4 years of relevant work experience in customer service– order management role
• Excellent communication and listening skills
• Good knowledge as well as work experience in using SAP
• Good in MS Word, MS Excel and email writing
• Attention to detail and ability to multi-task

Senior Product Analyst

Pampers Start Up Team

India / Remote Working

Team Description

Our internal team focuses on App Development with data a growing area within the structure. We have a clear vision and strategy which is coupled up with App Development, Data, Testing, Solutions and Operations. The data team sits across the UK and India whilst other teams sit across Dubai, Lebanon, Karachi and various cities in India.

Role Description

In this role you will use a range of tools and technologies to primarily working on providing data design, data governance, reporting and analytics on the Pampers App.

This is a unique opportunity for an ambitious candidate to join a growing business where they will get exposure to a diverse set of assignments, can contribute fully to the growth of the business and where there are no limits to career progression and reward.

Responsibilities

● To be the Data Steward and drive governance having full understanding of all the data that flows through the Apps to all systems

● Work with the campaign team to do data fixes when issues with campaigns

● Investigate and troubleshoot issues with product and campaigns giving clear RCA and impact analysis

● Document data, create data dictionaries and be the “go to” person in understanding what data flows

● Build dashboards and reports using Amplitude, Power BI and present to the key stakeholders

● Carry out adhoc data investigations into issues with the app and present findings back querying data in BigQuery/SQL/CosmosDB

● Translate analytics into a clear powerpoint deck with actionable insights

● Write up clear documentation on processes

● Innovate with new processes or ways of providing analytics and reporting

● Help the data lead to find new ways of adding value

Requirements

● Bachelor’s degree and a minimum of 4+ years’ experience in an analytical role preferably working in product analytics with consumer app data

● Strong SQL Server and Power BI required

● You have experience with most or all of these tools – SQL Server, Python, Power BI, BigQuery.

● Understanding of mobile app data (Events, CTAs, Screen Views etc)

● Knowledge of data architecture and ETL

● Experience in analyzing customer behavior and providing insightful recommendations

● Self-starter, with a keen interest in technology and highly motivated towards success

● Must be proactive and be prepared to address meetings

● Must show initiative and desire to learn business subjects

● Able to work independently and provide updates to management

● Strong analytical and problem-solving capabilities with meticulous attention to detail

● Excellent problem-solving skills; proven teamwork and communication skills

● Experience working in a fast paced “start-up like” environment

Desirable

• Knowledge of mobile analytical tools (Segment, Amplitude, Adjust, Braze and Google Analytics)
• Knowledge of loyalty data

• Experience with Android framework and internals
• Experience with AOSP (Android Open Source Project)
• Port AOSP to new architecture
• Port AOSP to new platform
• Experience with Linux Kernel drivers
• Port AOSP to new device / chipset
• Good understanding of HAL and device drivers
• Experience with Android SDK, NDK, JNI and IPC/Binder mechanisms

About NetElixir: 

NetElixir is a global digital marketing firm headquartered in Princeton, NJ. With a common goal of helping our customers and challenging ourselves to think differently, we face challenges and tackle them together as a team. We are a close-knit group of imaginative and friendly industry experts who bring our unique passions and personalities together to find creative solutions that drive results.

With offices in the US and India, NetElixir works persistently gathering, evaluating, computing, and formulating raw data and turning it into actionable insights for our customers. We work consistently to develop new technology that will improve and facilitate digital marketing efforts across the globe.

Role: Python Developer

Experience: 3 -5 Years

Company Website: http://www.netelixir.com/">www.netelixir.com 

Job Description:

Your responsibilities will include understanding the needs, gathering and prioritizing requirements, and working with our software development teams to design, develop and deliver new features.

• 3-5 years of experience in building web applications and product development using Python
  ● Experience in Python Backend development, microservice API development using Flask and/or Django
  ● Experience in SQL and No SQL databases
  ● Experience in AWS cloud services
  ● Working knowledge in Unit testing with pytest, Git (versioning, branching, etc..), CI-CD
  ● Collaboration with technical teams and product stakeholders to ensure design and
  implementation is aligned with business requirements
  ● Perform design and code reviews to ensure products meet our quality standards
  ● Assist in the education and development of junior team members to ensure progression and
  improvement.
  ● Good hands-on experience in debugging application issues
  ● Work experience in developing and deploying AI/ML models (additional advantage)
  ● Exposure to Digital Marketing Domain (additional advantage)

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.

Stylopay is one of the few companies globally who offer a payment platform, pre- integrated with the payment ecosystem, as a service to businesses. They have global issuance capabilities through partnerships with Issuers in Europe/UK, South East Asia and Middle East, payment processors and KYB/KYC/Risk service providers. IBAN, Wallet and Pre-card card programs are live in geographies across Europe and Asia.
To augment our Operations, we require a resource with experience in generating reports from IT production environment, preferably in financial domain. She/he should have strong problem solving, analytical and communication skills (verbal and written). She/he should be an excellent team player, with ability to work in a global team and with deadlines.

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.
• To contact potential customers and identify new business opportunities.
• To stay abreast with customer needs, market trends and competitors.
• To maintain clear and complete sales reports for management review.
• To build strong relationships with customers for business growth.
• To analyze sales performances and recommend improvements.
• To ensure that sales team follows company policies and procedures at all times.
• To develop promotional programs to increase sales and revenue.
• To plan and coordinate sales activities for assigned projects.
• To provide outstanding services and ensure customer satisfaction.