AI/ML Engineer

2 days ago


Delhi, India MuscleMind.ai Full time
MuscleMind.ai is a startup offering AI-driven CRM software that automates customer engagement, boosts sales, and enhances data-driven decision-making for businesses. We are looking for an individual who is passionate about contributing to the growth of the company.

Your Role at MuscleMind.ai

As our Full Stack Developer, you'll play a critical role in MuscleMind.ai's Engineering Team, building and optimizing our AI-powered CRM platform. You’ll develop robust, scalable solutions to enhance customer engagement, automate processes, and streamline business operations.

Joining MuscleMind.ai, a fast-growing startup, offers a unique opportunity to contribute directly to the foundation and success of a cutting-edge product while collaborating with a remote global team.

Your Journey With Us Will Revolve Around

Full Stack Development: Build and maintain high-performance web applications with seamless front-end and back-end functionality.

Feature Development & Optimization: Implement and refine CRM features to enhance automation, data management, sales tracking, and user experience.

Performance & Scalability: Ensure our platform’s performance and scalability as our client base grows.

Cross-functional Collaboration: Work closely with the Product and Sales teams to understand user needs and deliver tailored solutions.

Quality Assurance: Conduct testing and troubleshooting to deliver high-quality, reliable code.

Our Stack (Non-Exhaustive)

Front-end: React.js

Back-end: Node.js, Python, REST APIs

Database: PostgreSQL, Supabase

API Integrations: OpenAI API

AI Engineer Job Requirements

1. Front-End Technologies

- HTML & CSS: Proficient in web structure and styling.- CSS Frameworks: Experience with Bootstrap, TailwindCSS, or Material-UI for responsive design.- JavaScript: Strong skills for dynamic content and user interactions.- ;React.js: Experience in building scalable UIs with React and state management tools (e.g., Redux or Context API).

;2. Back-End Technologies

- ;Python: Expertise in Python for AI model development and backend programming.- ;Django/Flask: Knowledge of Django for scalable applications or Flask for lightweight microservices.- ;Relational Databases: Hands-on experience with PostgreSQL, MySQL, or SQLite.- ;RESTful APIs: Ability to design and implement APIs for efficient data exchange.

;3. Cloud Services

- ;AWS/Azure: Experience with cloud platforms for deployment and scaling.- ;Cloud Deployment: Understanding of serverless architectures, cloud databases, and CI/CD pipelines.

;4. DevOps

- ;Docker: Proficiency in containerization for consistent development and deployment.- ;CI/CD: Familiarity with automated testing and deployment processes.

;5. Version Control

- ;Git & GitHub: Expertise in version control systems and collaborative coding practices.

;6. AI/ML Skills

- ;Generative AI: Experience with models like GANs, VAEs, and Transformers.- ;Machine Learning: Solid understanding of algorithms (e.g., regression, clustering).- ;Deep Learning: Hands-on experience with CNNs, RNNs, and frameworks like TensorFlow or PyTorch.- ;NLP: Expertise in text processing, sentiment analysis, and language models.

;7. AI/ML Frameworks

- ;Pandas & NumPy: Data manipulation and numerical analysis.- ;Scikit-learn: Experience with machine learning models and evaluation techniques.- ;LangChain, spaCy, NLTK: Familiarity with NLP libraries for conversational agents and text processing.

;

;Roles and Responsibilities

;1. Collaboration

- ;Work with cross-functional teams (product, design, data science) to develop AI-driven solutions.

;2. Build AI Systems

- ;Translate business requirements into AI systems and deploy scalable models.

;3. Model Evaluation & Deployment

- ;Evaluate, deploy, and monitor AI models on cloud platforms.- ;Continuously improve model performance based on real-world feedback.

;4. Maintenance & Optimization

- ;Optimize code for performance and maintain AI systems for efficiency and reliability.

;Bonus (Required As Well)

;RAG (Retrieval-Augmented Generation): Experience with RAG workflows and building systems that integrate retrieval-based solutions.

;What You’ll Gain

;Hands-on Experience: Contribute to building a cutting-edge AI-powered CRM platform from the ground up.

;Career Growth: Opportunities to expand your skills and grow alongside MuscleMind.ai as we scale.

;Impact: Directly shape the success and usability of our CRM platform for global clients.

;Work Culture: Enjoy a supportive, inclusive, and innovative environment that values your contributions.

;

;If you’re passionate about building impactful, AI-driven solutions and excited to work in a dynamic startup environment, we’d love to hear from you

;

;How to Apply

;Please send your resume and portfolio to with the subject line ;"Full Stack Developer Application - (Your Name)".

;

;
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