Scientist - Natural Language Processing Engineer

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

Position Responsibilities:

About the Role

We are seeking a skilled and motivated Senior Software Developer to join our team, responsible for developing and maintaining a robust ERP solution used by approximately 400 customers and over 30,000 users worldwide. The system is built using C# (.NET Core), leverages SQL Server for data management, and is hosted in the Microsoft Azure cloud.

This role offers the opportunity to work on a mission-critical product, contribute to architectural decisions, and help shape the future of our cloud-native ERP platform.

Key Responsibilities

• Design, develop, and maintain features and modules within the ERP system using C# (.NET Core)
• Optimise and manage SQL Server database interactions for performance and scalability
• Collaborate with cross-functional teams, including QA, DevOps, Product Management, and Support
• Participate in code reviews, architecture discussions, and technical planning
• Contribute to the adoption and improvement of CI/CD pipelines and cloud deployment practices
• Troubleshoot and resolve complex technical issues across the stack
• Ensure code quality, maintainability, and adherence to best practices
• Stay current with emerging technologies and recommend improvements where applicable

Qualifications

• Curiosity, passion, teamwork, and initiative
• Strong experience with C# and .NET Core in enterprise application development
• Solid understanding of SQL Server, including query optimization and schema design
• Experience with Azure cloud services (App Services, Azure SQL, Storage, etc.)
• Ability to utilize agentic AI as a development support, with a critical thinking attitude
• Familiarity with agile development methodologies and DevOps practices
• Ability to work independently and collaboratively in a fast-paced environment
• Excellent problem-solving and communication skills
• Master's degree in computer science or equivalent; 5+ years of relevant work experience
• Experience with ERP systems or other complex business applications is a plus

What We Offer

• A chance to work on a product that directly impacts thousands of users worldwide
• A collaborative and supportive engineering culture
• Opportunities for professional growth and technical leadership
• Competitive salary and benefits package

Role Overview

Join our core tech team to build the intelligence layer of Clink's platform. You'll architect AI agents, design prompts, build ML models, and create systems powering personalized offers for thousands of restaurants. High-growth opportunity working directly with founders, owning critical features from day one.

Why Clink?

Clink revolutionizes restaurant loyalty using AI-powered offer generation and customer analytics:

• ML-driven customer behavior analysis (Pattern detection)
• Personalized offers via LLMs and custom AI agents
• ROI prediction and forecasting models
• Instagram marketing rewards integration

Tech Stack:

• Python,
• FastAPI,
• PostgreSQL,
• Redis,
• Docker,
• LLMs

You Will Work On:

AI Agents: Design and optimize AI agents

ML Models: Build redemption prediction, customer segmentation, ROI forecasting

Data & Analytics: Analyze data, build behavior pattern pipelines, create product bundling matrices

System Design: Architect scalable async AI pipelines, design feedback loops, implement A/B testing

Experimentation: Test different LLM approaches, explore hybrid LLM+ML architectures, prototype new capabilities

Must-Have Skills

Technical: 0-2 years AI/ML experience (projects/internships count), strong Python, LLM API knowledge, ML fundamentals (supervised learning, clustering), Pandas/NumPy proficiency

Mindset: Extreme curiosity, logical problem-solving, builder mentality (side projects/hackathons), ownership mindset

Nice to Have: Pydantic, FastAPI, statistical forecasting, PostgreSQL/SQL, scikit-learn, food-tech/loyalty domain interest

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

We're seeking an AI/ML Engineer to join our team-

As an 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 cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, 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 behavior, 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

Requirements

• 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

Responsibilities:

● Design, develop, and maintain scalable backend services and APIs using Java and Spring

Boot.

● Create and optimize SQL database schemas and queries in PostgreSQL to ensure efficient

data storage and retrieval.

● Implement RESTful APIs to facilitate seamless communication between frontend and backend

components.

● Configure and manage Nginx web servers to efficiently handle incoming requests and improve

application performance.

● Deploy and manage applications on AWS or GCP, ensuring scalability, reliability, and

security.

● Configure and optimize message broker systems using Kafka for real-time data processing

and communication.

● Containerize applications using Docker for easy deployment, scaling, and management.

● Create detailed Low-Level Designs (LLDs) and High-Level Designs (HLDs) to guide the

development and architecture of backend systems.

● Automating CI/CD pipelines and streamlining the software development lifecycle.

● Integrate AI/ML models into backend workflows using Python, PyTorch/TensorFlow, or

third-party AI APIs.

● Leverage AI tools (e.g., OpenAI APIs, Hugging Face, AWS AI services) to build intelligent

features.

● Collaborate closely with frontend developers, product managers, data scientists, and other

stakeholders to deliver high-quality AI-powered solutions.

● Monitor and troubleshoot production systems to ensure optimal performance, reliability, and

uptime.

What We’re Looking For:

● Bachelor’s degree in Computer Science, Engineering, or related field.

● 3-5 years of experience in backend development.

● Proficiency in Java, Spring Boot, PostgreSQL, SQL, and GitActions.

● Strong understanding of RESTful API design principles and best practices.

● Experience with configuring and optimizing Nginx web servers.

● Experience with configuring and optimizing Kafka service.

● Hands-on experience with AWS or GCP.

● Familiarity with Docker containers and container orchestration.

● Ability to create comprehensive Low-Level Designs (LLDs) and High-Level Designs (HLDs)

for backend systems.

● Experience with Python for AI/ML model integration in backend services.

● Familiarity with AI platforms and APIs such as OpenAI, Hugging Face, AWS AI/ML, or GCP

Vertex AI.

● Excellent problem-solving skills and attention to detail.

● Strong communication and collaboration skills, with the ability to work effectively in a team

environment.

Preferred Qualifications:

● Knowledge of microservices architecture and related technologies.

● Experience with cloud-native development and serverless computing.

● Understanding of software development best practices, including Agile methodologies

PYTHON, SQL, TensorFlow, NumPy, SciPy, Pandas

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.