Data Scientist
Job Description
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 optimisation. - 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. Requirements: - 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 optimisation. - Experience developing, deploying, and maintaining production AI applications. - Strong software engineering fundamentals, including clean code, modular design, debugging, and testing. o 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. - 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. Company Summary MThree AI is an enterprise AI company committed to simplifying work and delivering better outcomes. We build AI-native platforms that automate, optimize, and continuously improve complex workflows. Our Mission: To eliminate operational friction by embedding intelligence directly into the way organizations work, unlocking productivity, speed, and scale. Our Vision: To lead in enterprise AI, transforming productivity through intelligent, scalable automation. Our approach is collaborative. We immerse ourselves in business, understand how work really happens, and build solutions that succeed in real-world environments. This focus on domain expertise and long-term impact shapes our culture and defines our competitive edge. M3 AI is an enterprise AI firm delivering tailored technology solutions for complex business challenges. We design AI systems that are practical, reliable, and aligned with how organizations actually operate. Our vision is to be the long-term AI partner for enterprises navigating complexity at scale. We help embed intelligence into core processes, improving performance, resilience, and strategic decision-making. Why Join Us You should join us: - 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.
Required Skills
['PyTorch', 'Python', 'RAG', 'TensorFlow', 'retrieval', 'scikit-learn']
Additional Information
Source recruiter: Papnesh Kumar Patel Source recruiter designation: HR Company tagline: Engineering intelligence for what matters most Employee count: 10 Company founded: 2025 Benefits: Competitive compensation, Professional growth, Learning opportunities Company tech stack: AWS, Azure, Google Cloud (GCP), TensorFlow, PyTorch Website: https://mthree.ai/ LinkedIn: https://www.linkedin.com/company/mthree-ai-private-limited/about/ Instahyre score: NA Strong match: NA Accept outstation: true Company tagline: Engineering intelligence for what matters most Logo: https://media.instahyre.com/images/profile/base/employer/55858/719eb685cd/1771838083496.webp