Ai / Ml Engineer

We are looking for an AI / ML Engineer who will design, build, and deploy AI-driven solutions for real-world business use cases. The role focuses on applying existing AI models and tools, integrating them into applications, and delivering scalable AI solutions for enterprise clients.Key Responsibilities:
Design and implement AI/ML solutions for business applicationsIntegrate Large Language Models (LLMs) into web and backend systemsBuild AI-powered chatbots, automation workflows, and intelligent featuresWork with structured and unstructured data for AI use casesCollaborate with full-stack, backend, and cloud teamsDeploy AI services to cloud environmentsMonitor, improve, and optimize AI solutions in productionContribute to CI/CD pipelines and automated testing frameworksRequired Qualifications:
3–6 years of experience in AI/ML or software engineering rolesStrong programming skills in PythonHands‑on experience with Machine Learning fundamentalsExperience working with LLMs (OpenAI, Gemini, Claude, etc.)API‑based AI integrationsExperience with Flask / FastAPIFamiliarity with TensorFlow or PyTorchBasic understanding of model fine‑tuning and embeddingsPreferred Qualifications:
Strong problem‑solving mindsetBusiness‑focused AI thinkingComfortable working with existing systemsInterested in practical AI implementationLanguages: PythonML Frameworks: TensorFlow / PyTorchDevOps: Docker, CI/CD (basic)Databases: PostgreSQL, Vector DBs (Pinecone / FAISS – nice to have)Flexible Working StyleDiversity and InclusionLearn And GrowBalanced Working LifeHealth InsuranceTestlify is deeply committed to creating a workplace and global community where inclusion is not only valued but prioritized. We’re proud to be an equal-opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or any other non-merit-based or legally protected grounds.
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