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Lead Engineer AIML

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Onsite

Lead Engineer AIML

Hiringhood

Lead Engineer AIML

Skills

Google Cloud PlatformPythonTensorFlowMachine LearningAIAWSComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


Company Brief :

One of our key employers is a technology solutions and software services company specializing in digital engineering, product development, and IT services**.** The organization works with clients across various industries to deliver scalable software solutions, application development, quality engineering, and technology consulting services.

The company provides opportunities to work on modern technologies and enterprise-level projects, offering an environment focused on innovation, technical growth, collaboration, and continuous learning.

Role Description :

The role will drive the design, development, and delivery of AI/ML solutions with an emphasis on Generative AI, LLMs, and agentic architectures. Requires hands on expertise in implementation of GenAI projects.

Key Responsibilities :

-Delivery of AI/ML and Generative AI solutions, implement GenAI workflows including RAG systems, fine tune LLMs, prompt driven agents, and automation pipelines.

-Build PoC / blueprint implementations to validate concepts.

-Guide AI/ML best practices, evaluate GenAI technologies, frameworks, and cloud AI services

-Collaborate with business stakeholders to shape AI initiatives

-Ensure responsible AI practices, enterprise security and compliance considerations

Required Skills :

-Hands on experience in Python, LLMs, Generative AI, and core machine learning

-Practical implementation experience in GenAI projects (e.g., RAG chatbot, work automation, domain specific models)

-Experienced in ML libraries (scikit-learn, TensorFlow or similar) is a definite plus

-Solid understanding of AI architecture, embeddings, vector databases

-Experience with model deployment, monitoring, and CI/CD

-Familiarity with cloud AI platforms like Azure, AWS, GCP and cloud-based data and ML services

--Experienced with agentic frameworks

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