Job Title : AI / ML Engineer
Location : Hyderabad
Experience : 5+ Years
Employment Type : Permanent / Full-time
Notice Period : Immediate to ≤30 Days
About the Company
Our client is a global leader in digital innovation and IT solutions, operating across multiple industries and geographies. They specialize in building cutting-edge AI / ML solutions, empowering enterprises to leverage data-driven insights and adopt next-gen technologies with scalability and efficiency.
Job Responsibilities
- Design, build, and deploy enterprise-scale AI / ML architectures , with focus on LLM-based solutions
- Fine-tune and apply Large Language Models to solve complex business problems
- Build API development and integration pipelines for model deployment
- Work with distributed computing frameworks and apply system design principles for scalability
- Collaborate with cross-functional teams (data engineers, cloud architects, product owners) to deliver end-to-end solutions
- Ensure smooth deployment through MLOps practices, CI / CD pipelines, and containerization (Docker, Kubernetes)
- Troubleshoot, optimize, and enhance model performance in production environments
Mandatory Skills
Advanced degree in Computer Science, Engineering, or related field (PhD preferred)5+ years of AI / ML engineering experience , with 2+ years in LLM-based solutionsExpertise in LLMs – fine-tuning, optimization, and application in business use casesStrong skills in ML architectures, scalable model deployment, and distributed computingProficiency in containerization (Docker, Kubernetes) and CI / CD pipelinesHands-on experience with AWS, Azure, or GCP and MLOps toolsKnowledge of API development, integration, and deployment workflows⚠️ Important Note (Please Read Before Applying)
Do NOT apply if :
You have less than 5 years of AI / ML engineering experienceYou have no hands-on experience with LLMs in real-time projectsYou do not have exposure to cloud platforms and MLOps toolsYou are only from a pure support / non-development background✅ Apply ONLY if you meet all mandatory skills and experience criteria . Random or irrelevant applications will not be considered.