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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

Experience: 6+ Years

Location: Chennai & Pune

Work Model: Hybrid

Notice Period: Immediate Joiners Preferred

Role Overview

We are looking for a highly skilled Senior Python Engineer to design, develop, and scale robust backend systems and data-driven applications. The ideal candidate should have strong problem-solving skills, experience with modern Python frameworks, and exposure to cloud and emerging technologies like Generative AI and LLMs.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python
• Build and optimize RESTful APIs using Flask or FastAPI
• Work on data manipulation, processing, and transformation using Python libraries
• Collaborate with cross-functional teams to define and deliver high-quality solutions
• Develop efficient, reusable, and reliable code with strong attention to performance
• Implement containerization and orchestration using Docker and Kubernetes
• Ensure application security, data protection, and compliance best practices
• Manage code versioning using Git and follow CI/CD best practices
• Contribute to cloud-based deployments and infrastructure
• Explore and implement solutions using Generative AI and Large Language Models (LLMs)

Required Skills & Qualifications

• 6+ years of hands-on experience in Python development
• Strong understanding of Python fundamentals and problem-solving skills
• Experience with data manipulation libraries (e.g., Pandas, NumPy)
• Expertise in building REST APIs using Flask or FastAPI
• Solid understanding of ORM frameworks (e.g., SQLAlchemy, Django ORM)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with Docker and Kubernetes
• Strong knowledge of application security principles
• Proficiency in Git and version control practices
• Exposure to Generative AI concepts and working with LLMs

Job Title: Senior Python Developer – Product Engineering

Location: Pune, India

Experience Required: 3 to 7 Years

Employment Type: Full-time

Employment Agreement: Minimum 3 years (At the completion of 3 years, One Time Commitment Bonus will be applicable based on performance)

🏢 About Our Client

Our client is a leading enterprise cybersecurity company offering an integrated platform for Digital Rights Management (DRM), Enterprise File Sync and Share (EFSS), and Content-Aware Data Protection (CDP). With patented technologies for secure file sharing, endpoint encryption, and real-time policy enforcement, helps organizations maintain control over sensitive data — even after it leaves the enterprise perimeter.

🎯 Role Overview

We are looking for a skilled Python Developer with a strong product mindset and experience building scalable, secure, and performance-critical systems. You will join our core engineering team to enhance backend services powering DRM enforcement, file tracking, audit logging, and file sync engines.

This is a hands-on role for someone who thrives in a product-first, security-driven environment and wants to build technologies that handle terabytes of enterprise data across thousands of endpoints.

🛠️ Key Responsibilities

●      Develop and enhance server-side services for DRM policy enforcement, file synchronization, data leak protection, and endpoint telemetry.

●      Build Python-based backend APIs and services that interact with file systems, agent software, and enterprise infrastructure.

●      Work on delta sync, file versioning, audit trails, and secure content preview/rendering services.

●      Implement secure file handling, encryption workflows, and token-based access controls across modules.

●      Collaborate with DevOps to optimize scalability, performance, and availability of core services across hybrid deployments (on-prem/cloud).

●      Debug and maintain production-level services; drive incident resolution and performance optimization.

●      Integrate with 3rd-party platforms such as LDAP, AD, DLP, CASB, and SIEM systems.

●      Participate in code reviews, architecture planning, and mentoring junior developers.

📌 Required Skills & Experience

●      3+ years of professional experience with Python 3.x, preferably in enterprise or security domains.

●      Strong understanding of multithreading, file I/O, inter-process communication, and low-level system APIs.

●      Expertise in building RESTful APIs, schedulers, workers (Celery), and microservices.

●      Solid experience with encryption libraries (OpenSSL, cryptography.io) and secure coding practices.

●      Hands-on experience with PostgreSQL, Redis, SQLite, or other transactional and cache stores.

●      Familiarity with Linux internals, filesystem hooks, journaling/logging systems, and OS-level operations.

●      Experience with source control (Git), containerization (Docker/K8s), and CI/CD.

●      Proven ability to write clean, modular, testable, and scalable code for production environments.

➕ Preferred/Bonus Skills

●      Experience in EFSS, DRM, endpoint DLP, or enterprise content security platforms.

●      Knowledge of file diffing algorithms (rsync, delta encoding) or document watermarking.

●      Prior experience with agent-based software (Windows/Linux), desktop sync tools, or version control systems.

●      Exposure to compliance frameworks (e.g., DPDP Act, GDPR, RBI-CSF) is a plus.

🌟 What We Offer

●      Work on a patented and mission-critical enterprise cybersecurity platform

●      Join a fast-paced team focused on innovation, security, and customer success

●      Hybrid work flexibility with competitive compensation and growth opportunities

●      Direct impact on product roadmap, architecture, and IP development

Responsibilities:

● Design and build scalable APIs and microservices in Node.js (or equivalent backend frameworks).

● Develop and optimize high-performance systems handling large-scale data and concurrent users.

● Ensure system security, reliability, and fault tolerance.

● Collaborate closely with product managers, designers, and frontend engineers for seamless delivery.

● Write clean, maintainable, and well-documented code with a focus on best practices.

● Contribute to architectural decisions, technology choices, and overall system design.

● Monitor, debug, and continuously improve backend performance.

● Stay updated with modern backend technologies and bring innovation into the product.

Desired Qualifications & Skillset:

● 2+ years of professional backend development experience.

● Proficiency with Node.js, Express.js, or similar frameworks.

● Strong knowledge of web application architecture, databases (SQL/NoSQL), and caching strategies.

● Experience with cloud platforms (AWS/GCP/Azure), CI/CD pipelines, and containerization (Docker/Kubernetes) is a plus.

● Ability to break down complex problems into scalable solutions.

● Strong logical aptitude, quick learning ability, and a proactive mindset

• Experience in designing & developing systems/software for large business environments (Java, J2EE).
• Strong design and coding skills in Enterprise Java, REST & SOAP web services, ORM (JPA/Hibernate), Spring, Maven, JMS (ActiveMQ), Caching, XML, JSON.
• Experience with multiple integration technologies / frameworks.
• Must have good experience in Unix/Oracle/SQL.
• Experience in Agile Development, Scrum, and Iterative approaches.
• Experience and exposure to AWS Cloud Services and DevOps mindset and expertise is a plus Experience with Mule or any ESB (Enterprise Service Bus) is a plus.

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills

Responsibilities

• Writing scalable, robust,, testable, efficient, and easily maintainable code
• Translating software requirements into stable, working, high performance software
• Playing a key role in architectural and design decisions, building toward an efficient micro services distributed architecture

Skills

• Strong knowledge of Goprogramming language, paradigms, constructs, and idioms
• Knowledge of Goroutine and channel patterns
• Experience with the full suite of Goframeworks and tools, including:
• Dependency management tools such as Godep, Sltr, etc.
• Go’s templating language
• Go’s code generation tools, such as Stringer
• Popular Goweb frameworks, such as Revel,Gin
• Router packages, such as Gorilla Mux
• Ability to write clean and effective Godoc comments
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
• Good Written and Verbal communications.