KANINI SOFTWARE SOLUTIONS INDIA PRIVATE LIMITED
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Coimbatore · On-site · 5-8 Yrs · Aug 19
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
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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 AI Architect / AI Lead will be responsible for defining the AI strategy, designing scalable AI/ML architectures, and leading end-to-end implementation of AI solutions across the organization.
Responsibilities
- Develop and maintain the enterprise AI roadmap aligned with business objectives
- Evaluate new AI technologies, frameworks, and vendors to support innovation
- Define governance frameworks for responsible AI, privacy, security, and ethics
- Lead AI/ML initiatives across multiple business units
- Design scalable, secure, cloud-native AI/ML architectures (Azure AI, AWS, GCP)
- Define MLOps frameworks for continuous training, deployment, monitoring, and lifecycle management
- Architect data pipelines, vector databases, LLM orchestration, and retrieval-augmented generation (RAG) systems
- Select appropriate models (LLMs, CV, NLP, Generative AI, predictive analytics) based on business needs
- Provide technical leadership for building and deploying AI applications
- Work with data scientists, ML engineers, and software teams to deliver production-grade models
- Optimize AI workloads for cost, performance, and scalability
- Oversee integration of AI into products, platforms, and enterprise systems
- Translate business challenges into AI use cases with measurable outcomes
- Work with product owners, data teams, and business leaders to prioritize initiatives
- Present AI strategy and technical recommendations to executives and leadership teams
- Ensure compliance with data protection laws (GDPR, HIPAA, DPDP, etc.)
- Create explainability and transparency frameworks for AI decisions
- Implement controls to prevent bias, model drift, and data misuse
Qualifications
- 9-15+ years of overall experience, with 4+ years in AI/ML architecture or leadership roles
- Strong understanding of machine learning, deep learning, NLP, LLMs, RAG, transformers
- Experience with cloud platforms: Azure AI, AWS Sagemaker, or Google Vertex AI
- Experience with MLflow, Databricks, Kubeflow, Airflow, Docker, Kubernetes
- Experience in data engineering with Spark, Databricks, Data Factory, pipelines, ETL/ELT
- Programming experience in Python and SQL; experience designing enterprise-grade AI systems and microservices architectures
- Strong communication and stakeholder management skills
- Leadership experience with cross-functional teams
Nice to have
- Master's or bachelor's degree in Computer Science, AI, Data Science, or related fields
- Certifications in cloud (Azure AI Engineer, AWS ML Specialty, etc.)
- Experience implementing generative AI and LLM solutions in production
Education
- Master's or bachelor's degree in Computer Science, AI, Data Science, or related fields
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