
501 - 1000 employees
Founded 2003
đ€ B2B
đą Enterprise
đ€ Artificial Intelligence
B2B âą Enterprise âą 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.
đ October 3, 2025
đșđž United States â Remote
âł Contract/Temporary
đĄ Mid-level
đ Senior
đ€ Machine Learning Engineer
đŠ H1B Visa Sponsor
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501 - 1000 employees
Founded 2003
đ€ B2B
đą Enterprise
đ€ Artificial Intelligence
B2B âą Enterprise âą 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.
âą Design and implement AI-driven solutions leveraging Gemini 2.5, Copilot, Glean , and other LLM-based platforms. âą Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation. âą Collaborate with product, engineering, and data science teams to build scalable AI applications. âą Fine-tune and optimize AI/LLM models for specific business and healthcare use cases. âą Conduct experiments, perform benchmarking, and ensure high-quality AI deliverables. âą Ensure compliance, security, and ethical usage of AI in production. âą Stay up to date with the latest advancements in AI/LLMs, RAG, knowledge graphs, and healthcare AI trends.
âą Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean , or similar LLM-based tools. âą Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). âą Proficiency in Python, JavaScript/TypeScript, or similar programming languages. âą Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments. âą Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.). âą Knowledge of ML pipelines, APIs, and prompt engineering. âą Excellent problem-solving, communication, and collaboration skills.
âą Remote work options
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