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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
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:
Apply ONLY if you meet all mandatory skills and experience criteria. Random or irrelevant applications will not be considered.
Job ID: 144907365
Skills:
Google Apis, Sql, node.js, React, Gcp, Docker, Typescript, Rest Apis, Azure, Kubernetes, Python, AWS, prompt tuning, embeddings, vector databases, LLM architecture, RAGs, FastAPIs
Skills:
PostgreSQL, Node.js, Angular, Typescript, Docker, Azure, AWS, LangChain, RAG embeddings, LLMs, LangGraph, vector database
Skills:
Gdpr, Microservices, Tensorflow, Iso 27001, MLops, Pytorch, Docker, Data Privacy, Restful Apis, Kubernetes, Python, Anthropic Claude, LangChain, Generative AI, Hugging Face, SOC 2, AI automation frameworks, OpenAI ChatGPT, LlamaIndex
Skills:
scalable architecture , Python, Sql, Machine Learning, System Design, Artificial Intelligence, FastAPI, Nosql, Nlp, RAG pipelines, LLMs, Generative AI, LangGraph
Skills:
Sql, Django, REST, Flask, Swagger, Postgres, Redis, FastAPI, Kubernetes, Python, Azure, Restful Apis, attention tokens, context window, AIML, Core AI, LLM behavior, data processing pipelines, MCP, RAG, automation testing frameworks, operational monitoring, Llm, Transformers, OpenAPI, model evaluation procedures, MCP Model Context Protocol, observability, FastMCP, Docket
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