Scientist - Natural Language Processing Engineer

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

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

Job Description: Python-Azure AI Developer

Experience: 5+ years

Locations: Bangalore | Pune | Chennai | Jaipur | Hyderabad | Gurgaon | Bhopal

Mandatory Skills:

• Python: Expert-level proficiency with FastAPI/Flask
• Azure Services: Hands-on experience integrating Azure cloud services
• Databases: PostgreSQL, Redis
• AI Expertise: Exposure to Agentic AI technologies, frameworks, or SDKs with strong conceptual understanding

Good to Have:

• Workflow automation tools (n8n or similar)
• Experience with LangChain, AutoGen, or other AI agent frameworks
• Azure OpenAI Service knowledge

Key Responsibilities:

• Develop AI-powered applications using Python and Azure
• Build RESTful APIs with FastAPI/Flask
• Integrate Azure services for AI/ML workloads
• Implement agentic AI solutions
• Database optimization and management
• Workflow automation implementation

About Wokelo:

Wokelo is an LLM agentic platform for investment research and decision making. We automate complex research and analysis tasks traditionally performed by humans. Our platform is leveraged by leading Private Equity firms, Investment Banks, Corporate Strategy teams, Venture Capitalists, and Fortune 500 companies.

With our proprietary agentic technology and state-of-the-art large language models (LLMs), we deliver rich insights and high-fidelity analysis in minutes—transforming how financial decisions are made.

Headquartered in Seattle, we are a global team backed by renowned venture funds and industry leaders. As we rapidly expand across multiple segments, we are looking for passionate individuals to join us on this journey.

Requirements:

• 0-1 years of experience as a Software Developer.
• Bachelor’s or Master’s degree in Computer Science or related field.
• Proficiency in Python with strong experience in Django Rest Framework.
• Hands-on experience with Django ORM.
• Ability to learn quickly and adapt to new technologies.
• Strong problem-solving and analytical skills.
• Knowledge of NLP, ML models, and related engineering practices (preferred).
• Familiarity with LLMs, RLHF, transformers, embeddings (a plus).
• Prior experience in building or scaling a SaaS platform (a plus).
• Strong attention to detail with experience integrating testing into development workflows.

Key Responsibilities:

• Develop, test, and maintain scalable backend services and APIs using Python (Django Rest Framework).
• Work with Django ORM to build efficient database-driven applications.
• Collaborate with cross-functional teams to design and implement features that enhance the Wokelo platform.
• Contribute to NLP engineering and ML model development to power GenAI solutions (preferred but not mandatory).
• Ensure testing and code quality are embedded into the development process.
• Research and adopt emerging technologies, providing innovative solutions to complex problems.
• Support the transition of prototypes into production-ready features on our SaaS platform.
• Perform adhoc tasks as and when required/assigned by manager.

Why Join Us?

• Opportunity to work on a first-of-its-kind Generative AI SaaS platform.
• A steep learning curve in a fast-paced, high-growth startup environment.
• Exposure to cutting-edge technologies in NLP, ML models, LLM Ops, and DevOps.
• Collaborative culture with global talent and visionary leadership.
• Full health coverage, flexible time-off, and remote work culture.

🚀 Were Hiring: Staff Engineer – Computer Vision & Machine Learning 🚀

📍 Location: Gurugram

💼 Experience: 7-10 Years

About the Role

We are seeking a passionate Computer Vision and Machine Learning expert to develop advanced solutions in medical imaging. If you’re excited about challenges like image segmentation, object detection, and 3D reconstruction, let’s connect!

Mandatory Technical Skills:

✅ Programming Languages: Proficiency in C++, Python, and C#.

✅ Computer Vision Expertise: Experience with OpenCV for tasks such as:

• Image Segmentation
• Object Detection
• Pattern Recognition
• 3D Reconstruction
• ✅ ML/DL Frameworks: Proficiency in TensorFlow, PyTorch; hands-on experience with models like YOLO, U-Net, ResNet, VGG.
• ✅ Image Processing: Strong understanding of:
• Color-space transformations
• Histogram/Contrast enhancement
• Morphology and frequency domain filtering
• ✅ Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, Ultrasound.
• ✅ Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills.

Additional Preferred Skills:

🔹 Advanced C++ (STL, multithreading, design patterns).

🔹 Python libraries: Numpy, Pandas, Scikit-learn.

🔹 Knowledge of tools like VTK, ITK, or MITK.

🔹 Understanding of healthcare regulations (e.g., FDA, CE).

Why This Role?

You’ll build cutting-edge Computer Vision and Machine Learning solutions for healthcare, making a meaningful impact on lives.

Who You Are:

• You’ve built scalable, production-ready APIs in fast-paced environments, and are comfortable with the challenges that come with a growing startup.
• You understand event-driven architectures and have hands-on experience building real-time applications.
• You are fully capable of taking ownership of backend systems, from designing the database schema to writing efficient, maintainable code.
• You think beyond the code: optimizing performance, scalability, and security are as important as building new features.
• You’re comfortable troubleshooting complex issues, whether that’s API bottlenecks, database performance, or production issues.

Responsibilities:

• Design, implement, and manage a NestJS backend with a modular, scalable architecture that can easily handle real-time events and communication.
• Develop and maintain WebSocket services for real-time event-driven updates and ensure seamless communication across the system.
• Integrate RabbitMQ for reliable internal messaging, handling queues and ensuring event-driven workflows are efficient and fault-tolerant.
• Implement database management strategies using MongoDB, Redis, and Elasticsearch, ensuring efficient data handling, indexing, and optimization.
• Integrate with external APIs (JSON-RPC, XML-RPC, REST) to enhance system capabilities.
• Ensure high performance of the system by optimizing database queries, implementing caching strategies using Redis, and ensuring optimal indexing and data flow.
• Implement role-based authentication and authorization mechanisms using JWT, OAuth, and RBAC patterns within NestJS.
• Follow security best practices to ensure sensitive data is protected, credentials are stored securely, and the system is resilient to common vulnerabilities.
• Work collaboratively with cross-functional teams to ensure seamless integration between different services and technologies.

Must-Have Skills:

• Strong proficiency in Node.js and NestJS with TypeScript.
• Solid experience with MongoDB, Redis, and Elasticsearch for data storage and real-time data handling.
• In-depth knowledge of WebSockets and Socket.IO in NestJS Gateways, enabling real-time communication and updates.
• Experience with RabbitMQ for message queuing and asynchronous task handling.
• Strong understanding of authentication & authorization systems using JWT, OAuth, and RBAC (Role-Based Access Control).
• Expertise in optimizing APIs, including techniques for caching, improving database performance, and reducing latency.
• Familiar with API security best practices, including secure storage of credentials, encryption, and safeguarding sensitive data.

Key Skills:

• TypeScript, NestJS, WebSockets, Socket.io
• Redis, MongoDB, Elasticsearch, RabbitMQ
• API Optimization, JWT, OAuth, RBAC
• Real-time communication, Event-driven architecture