Join Our Trailblazing Team at Neuramonks!

Key Responsibilities:

Develop and maintain scalable web applications using the MERN stack

Design and implement RESTful APIs and backend services in Node.js with Express

Build dynamic, responsive UIs using React.js and integrate with backend APIs

Work with MySQL, writing optimized SQL queries, and handling complex joins.

Write clean, maintainable, and well-documented code

Optimize applications for performance, scalability, and security

Troubleshoot, debug, and upgrade existing applications

Participate in code reviews, architecture discussions, and deployment planning

Maintain version control using Git and follow agile development practices

Required Skills:

Strong proficiency in JavaScript (ES6+), React.js, Node.js, Express.js, and MongoDB

Experience with Redux, React Hooks, and component-based architecture

Proficiency with REST APIs and JSON data handling

Familiarity with Git, CI/CD pipelines, and Docker (preferred)

Good understanding of database design and NoSQL principles

Working knowledge of unit testing frameworks (e.g., Jest, Mocha)

Comfortable with Linux/CLI environments and cloud services like AWS, GCP, or Azure (basic level)

Good to Have:

Experience with TypeScript

Familiarity with GraphQL

Exposure to Agile/Scrum workflows

Knowledge of serverless architecture or microservices

Job Description:

We are looking for a skilled and detail-oriented Full Stack Developer to join our growing team. The ideal candidate will have a strong foundation in Angular for frontend development, along with Node.js and Express for backend services. Experience in designing UI using Figma and working with MySQL databases is essential. Exposure to AWS deployment is a plus.

Key Responsibilities:

Design and develop responsive front-end applications using Angular with Modular Routing and Common Components architecture.

Translate UI/UX designs from Figma into functional and aesthetic user interfaces.

Develop and maintain backend services using Node.js and Express.

Work with MySQL, writing optimized SQL queries, and handling complex joins.

Collaborate with cross-functional teams to define, design, and ship new features.

Use keyword research tools to analyze search volume, competition, and user intent.

Ensure high-performance, scalable, and secure solutions.

Required Skills:

Strong experience with Angular (v12+) and a solid understanding of component-based architecture.

Proficiency in Modular Routing, reusable/Common Components in Angular.

Experience converting Figma designs to responsive, pixel-perfect UI.

Solid backend knowledge with Node.js and Express.js.

Good command over MySQL, especially in writing custom queries, joins, and optimizing database interactions.

Familiarity with RESTful APIs and client-server communication.

Version control using Git.

Good to Have:

Hands-on experience with AWS services like EC2, S3, and RDS.

Knowledge of CI/CD pipelines and deployment automation.

Understanding of security best practices in web applications.

Responsibilities:

Develop, test, and maintain backend components using Python and Django.

Design and implement RESTful APIs to support frontend functionalities.

Optimize database performance and ensure data security.

Collaborate with frontend developers, data scientists, and product managers to define and implement new features.

Implement data validation and testing to ensure accuracy and quality of data.

Required Qualifications & Skills:

Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.

Minimum 2 years of experience in backend development using Python and Django.

Strong understanding of RESTful API design and implementation.

Experience with relational databases such as PostgreSQL or MySQL.

Familiarity with version control systems like Git.

Excellent problem-solving skills and attention to detail.

Strong communication and teamwork abilities.

Preferred Qualifications:

Experience with cloud platforms like AWS or Azure.

Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes.

Understanding of frontend technologies like JavaScript, HTML, and CSS.

Knowledge of Agile development methodologies.

Responsibilities:

Assist in the development, training, and optimization of computer vision models for various applications, including object detection, segmentation, classification, and image generation.

Conduct research on the latest advancements in computer vision, deep learning, and image processing techniques.

Work with image and video datasets, performing data preprocessing, augmentation, and analysis to enhance model performance.

Implement and fine-tune state-of-the-art deep learning architectures such as CNNs (ResNet, EfficientNet), Vision Transformers (ViTs), and GANs.

Develop and optimize vision models using frameworks like TensorFlow, PyTorch, and OpenCV.

Utilize feature extraction, edge detection, and other classical computer vision techniques to complement deep learning models.

Explore and implement foundation models in vision, including CLIP, DINO, SAM, and Diffusion Models, for cutting-edge applications.

Deploy and integrate computer vision models into real-world applications, including edge devices, cloud platforms, and embedded systems.

Utilize feature extraction, edge detecCollaborate with cross-functional teams to define use cases, evaluate model performance, and refine approaches for better accuracy and efficiency.tion, and other classical computer vision techniques to complement deep learning models.

Document research findings, model performance metrics, and key insights for internal reports and presentations.

Stay updated with new trends in computer vision, AI, and deep learning research to incorporate innovative solutions.

Skills Required:

Basic Knowledge of AI/ML: Understanding of fundamental concepts in machine learning and artificial intelligence.

Computer Vision Fundamentals: Strong understanding of image processing, feature extraction, and object recognition.

Programming Skills: Proficiency in Python; experience with libraries such as OpenCV, TensorFlow, PyTorch, and scikit-image is a plus

Deep Learning Models: Familiarity with CNNs, Vision Transformers, and generative models for tasks like object detection (YOLO, Faster R-CNN), segmentation (UNet, SAM), and image synthesis (GANs, Diffusion Models).

Data Handling & Preprocessing: Experience in handling large-scale image/video datasets using NumPy, Pandas, and OpenCV for data augmentation and transformation.

Mathematical Proficiency: Understanding of linear algebra, probability, and optimization techniques relevant to computer vision and AI.

Model Optimization: Experience in techniques such as pruning, quantization, and knowledge distillation to enhance model efficiency.

Deployment & Integration: Understanding of model deployment on cloud (AWS, GCP) and edge devices (TensorRT, OpenVINO, TFLite).

Problem-Solving Abilities: Strong analytical thinking and debugging skills to handle real-world vision challenges.

Team Collaboration: Good communication skills and the ability to work effectively in a team environment.

Eagerness to Learn: A passion for AI, deep learning, and computer vision, with a drive to stay updated with the latest research and industry advancements.

Responsibilities:

Assist in the development and training of machine learning models, particularly in the realm of large language models (LLMs) and generative AI.

Support data collection, preprocessing, and analysis to enhance model performance.

Conduct research on current trends and advancements in AI/ML technologies.

Collaborate with the team to design experiments and evaluate model outcomes.

Implement fine-tuning techniques on pre-trained models to improve their task-specific performance.

Work with text representation models, including embeddings, n-grams, and sentiment analysis, to enhance the understanding of textual data.

Leverage cutting-edge models like transformers (e.g., BERT, GPT) for tasks such as text generation, classification, and language understanding.

Develop and work with agentic frameworks to create autonomous agents and intelligent systems capable of task execution and decision-making.

Explore and experiment with new and upcoming frontiers in the AI/ML field, pushing the boundaries of current technologies.

Document findings and contribute to project reports and presentations.

Participate in team meetings and contribute ideas for AI-driven projects.

Skills Required:

Basic Knowledge of AI/ML: Understanding of fundamental concepts in machine learning and artificial intelligence.

Programming Skills: Proficiency in Python; familiarity with libraries such as TensorFlow, PyTorch, Hugging Face, and scikit-learn is a plus.

Data Handling: Experience with data manipulation and analysis using tools like Pandas, NumPy, and similar data processing libraries.

Mathematical Proficiency: Understanding of linear algebra, calculus, and statistics as they relate to machine learning and AI.

Research Skills: Ability to conduct literature reviews and synthesize information on emerging AI technologies, particularly in LLMs and generative models.

Text Representation Models: Experience with word embeddings, n-grams, sentiment analysis, and utilizing transformers (BERT, GPT, etc.).

Agentic Frameworks: Expertise in working with autonomous agents, intelligent systems, and agent-based modeling frameworks.

Team Collaboration: Good communication skills and the ability to work effectively in a team environment.

Problem-solving abilities: Strong analytical and critical thinking skills.

Eagerness to Learn: A passion for AI/ML and a desire to stay updated with the latest industry trends and developments, especially in frontier areas of AI research.

Responsibilities:

Identify new business opportunities through platforms like Upwork, LinkedIn, and other sales-related platforms.

Develop and maintain relationships with clients, ensuring satisfaction and repeat business.

Generate leads, follow up on sales inquiries, and close deals to achieve sales targets.

Prepare proposals, presentations, and quotations to clients based on their requirements.

Negotiate contracts and terms with clients.

Participate in team meetings and contribute ideas for AI-driven projects.

Stay up-to-date with market trends and competition to identify areas for business growth.

Collaborate with internal teams for smooth project delivery and ensure client expectations are met.

Skills Required:

Proven experience (6 months to 2 years) in IT sales, specifically on platforms like Upwork, LinkedIn, and other relevant sales channels.

Strong communication skills in English, both written and verbal (must have schooling from an English medium).

Data Handling: Experience with data manipulation and analysis using tools like Pandas or NumPy.

Good convincing power and ability to engage and close deals with potential clients.

Knowledge of IT services, software solutions, and the technology industry is essential.

Ability to work independently and as part of a team to meet sales goals.

Experience with CRM tools and sales software is a plus.

Strong negotiation and presentation skills.

A proactive and self-motivated individual with a passion for sales and business growth.

Education:

A bachelor's degree or equivalent from an English-medium school (preferred).

Responsibilities:

Plan and execute on-page, off-page, technical, and local SEO strategies.

Understand client business, competitors, and align SEO goals accordingly.

Use AI tools (ChatGPT, Gemini) to generate content and SEO assets.

Manage WordPress sites and ensure SEO best practices are followed.

Analyze performance using Google Analytics, Search Console, SEMrush, Ahrefs, etc.

Handle Google Business Profiles and local SEO optimization.

Coordinate with design/dev teams for implementation.

Deliver clear weekly/monthly reports and updates to clients.

Manage multiple SEO projects efficiently.

Skills Required:

Strong SEO knowledge (on-page, off-page, technical, local).

Proficiency in SEO tools: SEMrush, Ahrefs, Moz, Google Analytics, Search Console.

WordPress management experience.

Comfortable using AI tools for content generation.

Good analytical, communication, and reporting skills.

Ability to handle multiple clients and projects simultaneously.

Experience:

Minimum 2 years of hands-on SEO experience, ideally in an agency setting.

Proven success in driving SEO results.