KANINI SOFTWARE SOLUTIONS INDIA PRIVATE LIMITED
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Coimbatore · On-site · 4-7 Yrs · Aug 12
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
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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
The Data Scientist / Data Engineer will work with hands-on development capabilities (Python, FastAPI), solid GenAI/LLM experience, and be able to work end-to-end on GCP-based ML solutions including deployment, APIs, and CI/CD.
Responsibilities
- Build, train, and optimize ML/GenAI models (RAG, embeddings, LLM integrations)
- Develop production-grade services using Python + FastAPI
- Deploy ML workloads on GCP (Cloud Run, BigQuery, GCS, Pub/Sub)
- Design scalable APIs and lead API integrations
- Contribute to Cloud Migration and ML platform modernization
- Implement CI/CD for ML pipelines and microservices
- Apply OOPS principles for clean, modular design
- Work collaboratively with Product, Data Engineering, and Infra teams
Qualifications
- Strong hands-on Python development skills
- Solid GenAI / LLM development experience (RAG, embeddings, LLM integrations)
- Hands-on knowledge of GCP ML pipelines and deployment services
- Experience with FastAPI for API building
- CI/CD implementation using Jenkins or GitHub Actions
- Experience working with APIs and managing integrations
- Solid OOPs fundamentals
Nice to have
- Docker / Kubernetes experience
- Vector DBs (Pinecone / FAISS / Chroma)
- Terraform / Infrastructure as Code knowledge
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