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Job Description
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 solutions
Expertise in LLMs – fine-tuning, optimization, and application in business use cases
Strong skills in ML architectures, scalable model deployment, and distributed computing
Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines
Hands-on experience with AWS, Azure, or GCP and MLOps tools
Knowledge 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 experience
- You have no hands-on experience with LLMs in real-time projects
- You do not have exposure to cloud platforms and MLOps tools
- You 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.
More Info
Key Skills
distributed computing frameworks
AI ML architectures
MLOps practices
LLM-based solutions
integration pipelines
CI CD pipelines
Large Language Models




