KANINI SOFTWARE SOLUTIONS INDIA PRIVATE LIMITED
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Coimbatore · On-site · 3-5 Yrs · 3 days ago
Enterprise Software & Network Solutions · 501 to 1000 Employees · Nashville, US
KANINI is a digital transformation enabler, providing cutting-edge software services and solutions that help enterprises drive innovation and business growth. We create impeccable customer experiences through thoughtfully designed digital solutions that help improve our customer’s efficiency, scale, and revenues. We specialize in Product Engineering, Data Analytics & AI, and ServiceNow Consultation and Implementation. We focus on empowering Banking & Financial Services, Healthcare, Manufacturing, and a few other industries to leverage new-age technologies and solutions by implementing agile development practices and a global delivery framework. We build technology that puts humans first - in line with our core operating principle of 'technology is for people, not the other way around'. The result is happier clients, partners, and employees. How do we do this? - It's by ensuring our customers’ needs are well-balanced with our people’s aspirations. It means: * We care for everyone we work with. * We value every relationship we create. * We treat our clients as partners. Our people come to work because it makes them happy. They feel at home and smile more often. They keep getting better at what they do, every day! If all this is just as important to you, bring us your Energy, Intellect, and Integrity. We’ll offer you a happier way to work. Explore Careers at KANINI: https://bit.ly/3A8SQC6
What employees say
+ Good work place Good clients
− Short term projects Poor hikes
More reviews on the company profile.
Interview experience · Junior Software Engineer
3 rounds - On campus 1. Coding round - MCQ & Simple coding questions in guvi 2. Group Discussion - About some random topic 3. F2F interview - About CS fundamentals.
Easy difficulty · Coimbatore · 74 reports
More interview insightsJob description
Overview
We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Generative AI (GenAI), Python, FastAPI, and Azure. The ideal candidate will have hands-on experience in building intelligent systems, deploying ML/AI models, and working with modern AI frameworks. You will play a key role in designing and delivering scalable AI-driven solutions for real-world business problems.
Responsibilities
- Design, develop, and deploy Machine Learning and GenAI models for various business use cases
- Build and optimize APIs using FastAPI for serving ML/AI models
- Work with Azure cloud services for model deployment, monitoring, and scaling
- Build and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and LLMs to enable context-aware AI applications
- Develop and fine-tune large language models (LLMs) and GenAI solutions
- Create effective prompts and prompt engineering strategies for LLM-based applications
- Perform data preprocessing, feature engineering, and model evaluation
- Collaborate with cross-functional teams including Data Engineers and Product teams
- Ensure model performance, scalability, and reliability in production environments
Nice to have
- Deep Learning frameworks (TensorFlow / PyTorch)
- MLOps and CI/CD practices
- Experience with vector databases (FAISS, Pinecone, etc.)
- Exposure to data engineering concepts
- Understanding of model monitoring and governance
Benefits
- People-first culture with diversity and inclusion at its core
- Recognized as a Great Place to Work
- Join KANINI's award-winning Data Engineering Team, recognized as the "Outstanding Data Engineering Team" at DES 2025
- Exposure to cutting-edge technologies: AI, Data Analytics, Cloud, IoT, Telehealth
- Opportunities for career growth, mentorship, and impactful projects in Healthcare and BFSI domains
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Job application FAQ
Last updated 15 September 2026
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- This is a senior KANINI - Senior Data Scientist - Machine Learning/Generative AI role. Key skills include Data Science, AI/ML, Generative AI, Azure. Feedback AI highlights matched vs missing skills on your profile after signup.