MuscleMind.ai | AI/ML Engineer

3 weeks ago

Delhi, India MuscleMind.ai Full time
Company Description
MuscleMind.ai is an innovative startup based in Chennai, revolutionizing business operations with AI-powered solutions. The company's solutions automate customer engagement, drive sales growth, and empower data-driven decision-making to transform the way businesses succeed.
Role Description
This is a full-time AI/ML Engineer role at MuscleMind.ai located in Chennai. The AI/ML Engineer will be responsible for developing and implementing AI algorithms, enhancing pattern recognition models, working with neural networks, and utilizing statistics and algorithms to optimize solutions.
Experience: 3 to 4 years experience expected (Candidates with lesser experience can apply too)
Expertise Required:
Agent Stack
OpenAI Swarm
LangChain
Requirements
1. Front-End Technologies
HTML & CSS : Proficient in web structure and styling.
CSS Frameworks : Experience with Bootstrap , TailwindCSS , or Material-UI .
JavaScript ​: Strong skills for creating dynamic content and user interactions.
;React.j s: Experience in building scalable UIs with React and state management (e.g., Redux, Context API).
2. Back-End Technologie s
Pytho n: Expertise in Python for AI models and backend development.
Django/Flas k: Familiar with Django for scalable applications or Flask for microservices.
Relational Database s: Experience with PostgreSQ L, MySQ L, or SQLit e.
RESTful API s: Ability to design and implement APIs for data exchange.
3. Cloud Service s
AWS/Azur e: Experience with cloud platforms for deployment and scaling.
Cloud Deploymen t: Proficiency in serverless architectures, cloud databases, and CI/CD pipelines.
4. DevOp s
Docke r: Experience with containerization for consistent deployments.
CI/C D: Familiarity with automated testing and deployment pipelines.
5. Version Contro l
Git & GitHu b: Proficient in version control systems and collaborative coding.
6. AI/ML Skill s
Generative A I: Expertise in models such as GANs, VAEs, and Transformers.
Machine Learnin g: Strong understanding of algorithms like regression and clustering.
Deep Learnin g: Hands-on experience with CNN s, RNN s, and frameworks like TensorFlo w or PyTorc h.
NL P: Proficiency in text processing, sentiment analysis, and language models.
7. AI/ML Framework s
Pandas & NumP y: Data manipulation and numerical analysis.
Scikit-lear n: Experience with machine learning models and evaluation techniques.
LangChain, spaCy, NLT K: Familiarity with NLP libraries for conversational agents and text processing.
Roles and Responsibilitie s
1. Collaboratio n
Work with cross-functional teams (product, design, data science) to design and implement AI solutions.
2. Build AI System s
Translate business requirements into AI-powered systems and deploy scalable models.
3. Model Evaluation & Deploymen t
Evaluate AI models, deploy them on cloud platforms, and monitor performance.
Continuously improve models based on feedback and new data.
4. Maintenance & Optimizatio n
Maintain and optimize code for efficiency, scalability, and reliability.
Ensure AI systems meet performance and operational standards.
What We Offe r
Competitive salary package.
Opportunity to work with cutting-edge AI technologies.
Collaborative and innovative work environment.
Apply No w to join our team of innovators

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