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.

• Design and implement AI/ML solutions for business applications
• Integrate Large Language Models (LLMs) into web and backend systems
• Build AI-powered chatbots, automation workflows, and intelligent features
• Work with structured and unstructured data for AI use cases
• Collaborate with full-stack, backend, and cloud teams
• Deploy AI services to cloud environments
• Monitor, improve, and optimize AI solutions in production
• Contribute to CI/CD pipelines and automated testing frameworks

• 3–6 years of experience in AI/ML or software engineering roles
• Strong programming skills in Python
• Hands‑on experience with Machine Learning fundamentals
• Experience working with LLMs (OpenAI, Gemini, Claude, etc.)
• API‑based AI integrations
• Experience with Flask / FastAPI
• Familiarity with Tensor Flow or Py Torch
• Basic understanding of model fine‑tuning and embeddings

• Strong problem‑solving mindset
• Business‑focused AI thinking
• Comfortable working with existing systems
• Interested in practical AI implementation
• Languages:
  
  Python
• ML Frameworks:
  Tensor Flow / Py Torch
• Dev Ops:
  Docker, CI/CD (basic)
• Databases:
  PostgreSQL, Vector DBs (Pinecone / FAISS – nice to have)
• Flexible Working Style
• Diversity and Inclusion
• Learn And Grow
• Balanced Working Life
• Health Insurance

Testlify 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.