Website:
mthree.ai
Job details:
Company Description: MThree AI, part of MCUBE AI PRIVATE LIMITED, is an enterprise AI company focused on simplifying work and delivering measurable outcomes through AI-native platforms. The organization builds intelligent solutions that automate, optimize, and continuously improve complex business workflows. Its mission is to remove operational friction by embedding intelligence directly into how organizations work, enabling greater productivity, speed, and scale. The company collaborates closely with clients, immersing in their business processes to design solutions that perform reliably in real-world environments. This emphasis on domain expertise, long-term impact, and practical innovation shapes its culture and defines its competitive advantage.
About the Role:
MThree AI is seeking a highly motivated AI/ML Engineer with 3–4 years of experience in Data Science and Machine Learning to join our growing AI team. The ideal candidate will have hands-on experience in building and deploying Generative AI solutions, working with Large Language Models (LLMs), and developing intelligent applications powered by modern AI frameworks and tools.
This role offers an opportunity to work on cutting-edge AI initiatives, including LLM-powered applications, RAG systems, AI agents, and machine learning models that drive business value.
Key Responsibilities:
- Design scalable, reliable AI systems with a focus on production readiness, maintainability, and performance.
- Perform root cause analysis and debugging of AI pipelines to improve accuracy, consistency, and reliability.
- Develop automated evaluation, validation, and testing strategies for AI applications.
- Design reliable LLM workflows using structured outputs, validation, retrieval, and business rules.
- Create and maintain RAG pipelines and AI agent frameworks.
- Perform data analysis, model evaluation, and performance optimization.
- Develop APIs and integrate AI solutions into existing products and platforms.
- Collaborate with cross-functional teams including engineering, and business stakeholders to define AI use cases and deliver solutions.
- Monitor, troubleshoot, and continuously improve deployed AI systems.
Required Skills & Qualifications:
- Bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related quantitative field.
- 3–4 years of experience building AI/ML applications with strong Python and software engineering skills.
- Strong proficiency in Python.
Hands-on experience with:
- Understanding of AI system design, evaluation, monitoring, and performance optimization.
- Experience developing, deploying, and maintaining production AI applications.
- Strong software engineering fundamentals, including clean code, modular design, debugging, and testing.
- RAG architectures
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Good understanding of NLP concepts.
- Familiarity with API development and integration.
- Ability to work independently as well as in collaborative team environments.
Good-to-Have Skills:
- Experience with vector databases such as Pinecone, Weaviate, FAISS, ChromaDB.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, and deployment pipelines.
- Exposure to fintech products, platforms, or domain-specific use cases.
What We Offer?
- Opportunity to work on cutting-edge Generative AI and Machine Learning projects.
- Collaborative and innovation-driven work environment.
- Professional growth and learning opportunities.
- Exposure to enterprise-scale AI deployments and modern AI technologies.
- Competitive compensation and benefits package.
Click on Apply to know more.