AI/ML Engineer

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🕒 October 3, 2025

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Logo of KANINI

KANINI

501 - 1000 employees

Founded 2003

đŸ€ B2B

🏱 Enterprise

đŸ€– Artificial Intelligence

B2B ‱ Enterprise ‱ Artificial Intelligence

KANINI is a global digital engineering and IT services firm that helps enterprises transform through product engineering, cloud enablement, data analytics & AI, intelligent automation, and ServiceNow solutions. It builds cloud-native applications, modernizes legacy systems, implements AI/ML and data platforms, and delivers managed outcomes via flexible engagement models for clients across healthcare, banking, energy, government and technology sectors.

📋 Description

‱ Design and implement AI-driven solutions leveraging Gemini 2.5, Copilot, Glean , and other LLM-based platforms. ‱ Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation. ‱ Collaborate with product, engineering, and data science teams to build scalable AI applications. ‱ Fine-tune and optimize AI/LLM models for specific business and healthcare use cases. ‱ Conduct experiments, perform benchmarking, and ensure high-quality AI deliverables. ‱ Ensure compliance, security, and ethical usage of AI in production. ‱ Stay up to date with the latest advancements in AI/LLMs, RAG, knowledge graphs, and healthcare AI trends.

🎯 Requirements

‱ Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean , or similar LLM-based tools. ‱ Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). ‱ Proficiency in Python, JavaScript/TypeScript, or similar programming languages. ‱ Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments. ‱ Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.). ‱ Knowledge of ML pipelines, APIs, and prompt engineering. ‱ Excellent problem-solving, communication, and collaboration skills.

đŸ–ïž Benefits

‱ Remote work options

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