Data Scientist

• Strong Fullstack Engineering Profile with SaaS Product Experience
• Mandatory (Experience 1) – Must have 4+ years of experience in building production-grade SaaS applications.
• Mandatory (Experience 2) – Must have 3+ years of hands-on backend development using Python (FastAPI/Django/Flask).
• Mandatory (Experience 3) – Must have 1+ years of frontend experience using React (with Hooks and TypeScript).
• Mandatory (Experience 4) - Must have experience with Relational Databases (like MySQL, PostgreSQL, Oracle etc)
• Mandatory (Experience 5) - Must have good experience in Micro Services or Distributed System frameworks(eg, Kafka, Google pub / Sub, AWS SNS, Azure Service Bus) or Message brokers(eg, RabbitMQ)
• Mandatory (Experience 6) – Hands-on experience with cloud services (EKS, Lambda, S3 IAM) along with Docker/Kubernetes containerization.
• Mandatory (Company) - B2B SaaS Product Companies

Role Overview

We are seeking an experienced Python Backend Developer with strong expertise in SDK development, API design, and application security. The ideal candidate will build robust backend systems, integrate third-party services, and ensure secure, scalable backend operations.

Key Responsibilities

• Design, develop, and maintain backend services using Python and modern frameworks (e.g., FastAPI, Django, Flask).
• Build and maintain SDKs to support internal and external integrations.
• Develop clean, scalable, and reusable RESTful and/or GraphQL APIs.
• Implement and enforce security best practices, including authentication, authorization, encryption, secrets management, and OWASP guidelines.
• Collaborate with frontend, DevOps, and product teams to deliver end-to-end features.
• Integrate external APIs and third-party services efficiently and securely.
• Optimize backend performance, scalability, logging, and monitoring.
• Write automated tests and maintain high code quality through CI/CD pipelines.
• Work with client SMEs to understand existing workflows, formulas, rules, and translate them into maintainable backend services

·       Consume and work with existing data models and database schemas (SQL/NoSQL) to support analytical workflows, operational planning applications, and integration of machine learning outputs into backend services.

·       Leverage Redis (or similar in-memory stores) for caching and performance optimization, ensuring fast response times for data-driven APIs and applications.

·       Utilize middleware, message queues, and streaming technologies (e.g., Kafka, Event Hubs, RabbitMQ) to build reliable, scalable data flows and event-driven backend services.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science or a related field
• Proven experience of 5+ years as a Python Developer specializing in backend systems.
• Hands-on experience with SDK design, development, and documentation.
• Strong knowledge of API development (REST, GraphQL), API versioning, and standards.
• Strong understanding of data modeling, multi-source data integration (SQL/NoSQL/warehouse), and analytical data flows.
• Solid understanding of application security, including:
• OAuth2, JWT, API keys
• Secure coding practices
• Data privacy & encryption
• Security testing & vulnerability mitigation
• Experience with Python frameworks such as FastAPI, Django, Flask.
• Knowledge of databases (PostgreSQL, MySQL, MongoDB, Redis).
• Familiarity with CI/CD, Git, Docker, Kubernetes and cloud platforms (AWS, GCP, Azure).
• Experience with caching (Redis), asynchronous processing, and performance tuning for low-latency user interactions.
• Knowledge of message brokers (Kafka, Event Hubs, RabbitMQ) and event-driven architecture for workflow orchestration.
• Strong analytical skills with complex Excel models, including familiarity with advanced formulas, pivot tables, and user-defined Excel functions

Preferred Qualifications

• Experience building public or enterprise-level SDKs.
• Hands-on experience with event-driven architectures, message queues, or streaming technologies
• Familiarity with workflow orchestration tools (e.g., Airflow, Prefect, Dagster, Azure Data Factory)
• Familiarity with data warehousing or analytical query optimization (Snowflake, BigQuery, Synapse, Redshift).
• Exposure to MLOps tools like MLflow, BentoML, Seldon, SageMaker, Vertex AI, or Databricks ML.

Competencies:

·       Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·       Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·       Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·       Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·       Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!

Position Title: Area Sales Manager

Sales Key Responsibilities: Franchisee Onboarding • Identify potential mobile retailers in alignment with SmartDukaan’s business goals and convince them to onboard as franchise partners. • Ensure new franchise partners understand the product offerings, sales process, and operational procedures. • Take ownership of the completion of the onboarding process for finalized franchise partners, ensuring all necessary documentation and agreements are processed accurately. • Develop and maintain strong, lasting relationships with new franchise partners, offering guidance and support throughout the onboarding journey. • Follow up with franchise partners to ensure they comply with payment terms and resolve any concerns or delays in payment. Sales Performance • Achieve and consistently exceed sales targets for the assigned region. • Manage and monitor sales performance across multiple stores. • Prepare and execute the assigned sales plan, including store-wise targets, stock forecasting, order planning, brand placement, and inventory management for the assigned stores. Partner Relationship Management & Partner Retention • Build and maintain strong, long-term relationships with partners, addressing their needs and ensuring satisfaction. • Serve as a bridge between management and partners, ensuring open communication and addressing concerns, grievances, or issues effectively. • Actively engage with partners to understand their business needs and identify opportunities for growth. • Ensure partner retention by providing consistent support and aligning with their business goals.

Education Qualification: Bachelor’s / Masters / Post Graduate Diploma in Business Management Work Experience & Skills: 4+ years of relevant experience in Smartphone, Telecom, Retail Franchisee, similar organizations with a proven track record of franchisee onboarding, payment realization, and effectively managing customer relationships within high-growth environments. .

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Requirement :- Java Tech Lead (with knowledge of Angular)

• 5+ years of experience into Java 6/7/8, J2EE, EJB, Servlets, JSP, JDBC, LOG4J, JSON, XML
• 3+ years of experience in Spring Boot, Sprint Rest, Spring MVC.
• 5+ years of experience in REST, Micro service Development
• Knowledge of Design Patterns (Good to Have).
• Proven Experience in building complex web systems that have been successfully delivered to customers
• Experience in writing SQL-queries and knowledge of PL/SQL
• Experience in working with databases Oracle 10g, 11g, Postgres, Cassandra etc
• Exposure/Experience in working/setting up CI and CD environments (DevOps).
• Knowledge of development lifecycle, standards, approaches, utilities and environment: shells, version control systems, IDEs, project assembling tools;

Responsibilities:

• Participate in requirement, design, implementation, testing and support of custom banking solutions, which include features enhancements, new functionalities, and back-end systems integration.
• Define and manage resource plan together with the Project Manager aligning to the project schedule.
• Plan and drive the project's technical execution to achieve the committed scope and timeline.
• Monitor and report technical execution progress as well as all technical issues, risk or mitigation plan in a timely manner.
• Ability to coordinate multi-teams (e.g. customers, internal functional and technical SMEs), to understand business requirements, technical design and preparing of technical specifications.
• Assist in estimation of efforts and timescales for tasks delegated to the team.
• Contribute to design/code reviews for quality assurance and conformance to Company standards / guidelines.
• Hands-on participate in development and bugs fixing.
• Commit to continuous improvement and refinement of delivery.
• Strong technical knowledge and skills, consistently provide technical guidance and develop team members.
• Responsible for forward resource management, team building and staff career growth.

Requirements:

• Degree in Computer Sciences / Software Engineering / Information Technology.
• At least 5 years of working experience in Java EE development (preferably in the financial industry).
• Individual that is optimistic, proactive, good initiative, passionate, strives to achieve more as a team, and is able to motivate others.
• Understand design documentation standards such as Unified Modelling Language.
• Experience in various Java EE frameworks and design patterns. Preferably on Micro services architecture.
• Exposure in Java MVC frameworks such as Spring Boot.

Role : Full-time 

Remote / work from home 

Interested, kindly respond with the following : 

Total relevant years of experience : :

CTC:

ECTC : 

Notice Period:

You will be responsible for: 

• Owning the design and delivery of your code from cradle to grave.
• Peer reviewing your team mate’s code
• Being a key player in this client’s Digital Transformation – both implementing changes to existing APIs and developing new ones to integrate with the latest digital stack.
• Developing new and be-spoke features as well as working on large scale integrations 
• Working in an Agile Scrum environment where you will be challenged and motivated 
• Calling out risks if you spot them in a particular approach or design.

Qualifications

Skills Required:

• Technical design experience.
• Hands on Java development experience, in particular with Spring (minimum of 4 years)
• Knowledge of JavaScript and NodeJS is highly desirable
• You will have worked in an Agile Scrum environment and be comfortable with fast-paced Sprint Cycles
• Previous experience building web service API’s is key for this role – Apigee is the preferred technology
• Any experience with Microsoft Azure is a nice to have – this is the direction we are going

Additional skills we are looking for include:

• Spring Framework
• GIT
• Jenkins
• Maven
• Bash Scripting
• Oracle PL/SQL or any other SQL technologies
• Weblogic 12c or other container technologies
• Unit testing with Mockito
• Integration testing with FitNesse, Spock or similar