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About NonStop io Technologies
NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.
Brief Description:
We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.
Responsibilities
● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics
● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.
Qualifications & Skills
● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
● Proficiency in programming languages commonly used for AI/ML. Preferably Python
● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
● Strong understanding of machine learning algorithms, statistics, and data structures
● Experience with data preprocessing, data wrangling, and feature engineering
● Knowledge of deep learning architectures, neural networks, and transfer learning
● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders
Role Overview:
We are seeking a backend-focused Software Engineer with deep expertise in REST APIs,
real-time integrations, and cloud-based application services. The ideal candidate will build
scalable backend systems, integrate real-time data flows, and contribute to system design
and documentation. This is a hands-on role working with global teams in a fast-paced, Agile
environment.
Key Responsibilities:
• Design, develop, and maintain REST APIs and backend services using Python, FastAPI,
and SQLAlchemy.
• Build and support real-time integrations using AWS Lambda, API Gateway, and
EventBridge.
• Develop and maintain Operational Data Stores (ODS) for real-time data access.
• Write performant SQL queries and work with dimensional data models in PostgreSQL.
• Contribute to cloud-based application logic and data orchestration.
• Containerize services using Docker and deploy via CI/CD pipelines.
• Implement automated testing using pytest, pydantic, and related tools.
• Collaborate with cross-functional Agile teams using tools like Jira.
• Document technical workflows, APIs, and system integrations with clarity and
consistency.
• Should have experience in team management
Required Skills & Experience:
• 8+ years of backend or integrations engineering experience.
• Expert-level knowledge of REST API development and real-time system design.
• Strong experience with: Python (FastAPI preferred), SQLAlchemy.
• PostgreSQL and advanced SQL.
• AWS Lambda, API Gateway, EventBridge.
• Operational Data Stores (ODS) and distributed system integration.
• Experience with Docker, Git, CI/CD tools, and automated testing frameworks.
• Experience working in Agile environments and collaborating with cross-functional
teams.
• Comfortable producing and maintaining clear technical documentation.
• Working knowledge of React is acceptable but not a focus.
• Hands-on experience working with Databricks or similar data platforms.
Education & Certifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field (required).
• Master’s degree is a plus.
• Certifications in AWS (e.g., Developer Associate, Solutions Architect) or Python
frameworks are highly preferred.
Company Name – Wissen Technology
Group of companies in India – Wissen Technology & Wissen Infotech
Work Location – Pune
While you may already know about Wissen and the company history, here is a quick rundown for you.
About Wissen Technology:
· The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
· Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
· Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
· Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
· Globally present with offices US, India, UK, Australia, Mexico, and Canada.
· We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
· Wissen Technology has been certified as a Great Place to Work®.
· Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
· Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
· We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
Job Description:
Experience Required: 3–5years
Job Title: Application Development Engineer (Python – Backtesting & Index Platforms)
Role Overview
We are seeking a strong Python Application Engineer to help build a next-generation Index Backtesting and Rebalance Platform.
In this role, you will design and develop deterministic, scalable calculation engines that convert financial methodologies into production-grade software.
You will work on portfolio construction, rebalancing logic, and historical simulations while consuming reference and market data from Snowflake using python as your core processing tool.
Key Responsibilities
Engine Development: Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting.
Large-Scale Simulation: Use Pandas, NumPy, and PySpark to run historical calculations across long time horizons and multiple index variants.
Workflow Integration: Integrate engines with orchestrators such as Airflow or Temporal using parameterized, config-driven execution.
Reference Data Consumption: Query and utilize pricing, security master, and corporate action data from Snowflake.
Quality & Reconciliation: Build automated test harnesses to validate outputs, compare against benchmarks, and guarantee reproducibility.
Performance Optimization: Improve runtime efficiency through vectorization, caching, and distributed computing patterns.
Cross-Team Collaboration: Partner with Business, Index Ops, and Platform teams to accelerate research-to-production onboarding.
Required Technical Capabilities
Python Expertise: Strong proficiency in Python application development with emphasis on clean architecture and maintainable design.
Data & Numerical Libraries: Deep experience with Pandas and NumPy; working knowledge of PySpark for distributed workloads.
Financial Computation: Ability to implement portfolio mathematics, weighting algorithms, and time-series transformations.
Config-Driven Systems: Experience building rule-based or metadata-driven processing frameworks.
Database Skills: Strong SQL and experience consuming structured data from Snowflake.
Testing Discipline: Expertise in unit testing, regression testing, and deterministic replay of calculations.
Orchestration Integration: Familiarity with Airflow, Temporal, or similar workflow engines.
Cloud Infrastructure: Solid understanding of AWS ecosystem services (S3, Lambda, IAM).
Technical Skills:
- Technical Skills:
- Python, PySpark, Pandas, NumPy, AWS (S3, Lambda), Apache Airflow, SQL, Financial Services Domain Knowledge, Strong Communication Skills.
Role Overview:
We are looking for a skilled Golang Developer with 3.5+ years of experience in building scalable backend services and deploying cloud-native applications using AWS. This is a key position that requires a deep understanding of Golang and cloud infrastructure to help us build robust solutions for global clients.
Key Responsibilities:
- Design and develop backend services, APIs, and microservices using Golang.
- Build and deploy cloud-native applications on AWS using services like Lambda, EC2, S3, RDS, and more.
- Optimize application performance, scalability, and reliability.
- Collaborate closely with frontend, DevOps, and product teams.
- Write clean, maintainable code and participate in code reviews.
- Implement best practices in security, performance, and cloud architecture.
- Contribute to CI/CD pipelines and automated deployment processes.
- Debug and resolve technical issues across the stack.
Required Skills & Qualifications:
- 3.5+ years of hands-on experience with Golang development.
- Strong experience with AWS services such as EC2, Lambda, S3, RDS, DynamoDB, CloudWatch, etc.
- Proficient in developing and consuming RESTful APIs.
- Familiar with Docker, Kubernetes or AWS ECS for container orchestration.
- Experience with Infrastructure as Code (Terraform, CloudFormation) is a plus.
- Good understanding of microservices architecture and distributed systems.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with Git, CI/CD pipelines, and agile workflows.
- Strong problem-solving, debugging, and communication skills.
Nice to Have:
- Experience with serverless applications and architecture (AWS Lambda, API Gateway, etc.)
- Exposure to NoSQL databases like DynamoDB or MongoDB.
- Contributions to open-source Golang projects or an active GitHub portfolio.
Preferred Skills:
- Experience with XML-based web services (SOAP, REST).
- Knowledge of database technologies (SQL, NoSQL) for XML data storage.
- Familiarity with version control systems (Git, SVN).
- Understanding of JSON and other data interchange formats.
- Certifications in XML technologies are a plus.
Job title - Python developer
Exp – 4 to 6 years
Location – Pune/Mum/B’lore
PFB JD
Requirements:
- Proven experience as a Python Developer
- Strong knowledge of core Python and Pyspark concepts
- Experience with web frameworks such as Django or Flask
- Good exposure to any cloud platform (GCP Preferred)
- CI/CD exposure required
- Solid understanding of RESTful APIs and how to build them
- Experience working with databases like Oracle DB and MySQL
- Ability to write efficient SQL queries and optimize database performance
- Strong problem-solving skills and attention to detail
- Strong SQL programing (stored procedure, functions)
- Excellent communication and interpersonal skill
Roles and Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using pyspark
- Work closely with data scientists and analysts to provide them with clean, structured data.
- Optimize data storage and retrieval for performance and scalability.
- Collaborate with cross-functional teams to gather data requirements.
- Ensure data quality and integrity through data validation and cleansing processes.
- Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
- Stay up to date with industry best practices and emerging technologies in data engineering.
We are seeking a highly skilled and motivated Python Developer with hands-on experience in AWS cloud services (Lambda, API Gateway, EC2), microservices architecture, PostgreSQL, and Docker. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable backend services and APIs, with a strong emphasis on cloud-native solutions and containerized environments.
Key Responsibilities:
- Develop and maintain scalable backend services using Python (Flask, FastAPI, or Django).
- Design and deploy serverless applications using AWS Lambda and API Gateway.
- Build and manage RESTful APIs and microservices.
- Implement CI/CD pipelines for efficient and secure deployments.
- Work with Docker to containerize applications and manage container lifecycles.
- Develop and manage infrastructure on AWS (including EC2, IAM, S3, and other related services).
- Design efficient database schemas and write optimized SQL queries for PostgreSQL.
- Collaborate with DevOps, front-end developers, and product managers for end-to-end delivery.
- Write unit, integration, and performance tests to ensure code reliability and robustness.
- Monitor, troubleshoot, and optimize application performance in production environments.
Required Skills:
- Strong proficiency in Python and Python-based web frameworks.
- Experience with AWS services: Lambda, API Gateway, EC2, S3, CloudWatch.
- Sound knowledge of microservices architecture and asynchronous programming.
- Proficiency with PostgreSQL, including schema design and query optimization.
- Hands-on experience with Docker and containerized deployments.
- Understanding of CI/CD practices and tools like GitHub Actions, Jenkins, or CodePipeline.
- Familiarity with API documentation tools (Swagger/OpenAPI).
- Version control with Git.
Job brief
We are looking for a Java Developer with experience in building high-performing, scalable, enterprise-grade applications.
You will be part of a talented software team that works on mission-critical applications. Java developer roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.
Java developer responsibilities include designing, developing and delivering high-volume, low-latency applications for mission-critical systems.
Responsibilities
- Contribute in all phases of the development lifecycle
- Write well designed, testable, efficient code
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
Requirements and skills
- BS/MS degree in Computer Science, Engineering or a related subject
- Proven hands-on Software Development experience (Microservices & Springboot)
- Proven working experience in Java development
- Hands on experience in designing and developing applications using Java EE platforms
- Object Oriented analysis and design using common design patterns.
- Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
- Experience in the Spring Framework
- Experience in developing web applications using at least one popular web framework (Spring MVC)
- Experience with test-driven development
Software Development Engineer – SDE 2.
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
You write high quality, maintainable, and robust code, often in Java or C++ or C#
You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
You solve problems at their root, stepping back to understand the broader context.
You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
You recognize and use design patterns to solve business problems.
You understand how operating systems work, perform and scale.
You continually align your work with Amazon’s business objectives and seek to deliver business value.
You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
Bachelors or Masters in Computer Science or relevant technical field.
Experience in software development and full product life-cycle.
Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
Proficiency in SQL and data modeling.





