HYDERABAD · FULLTIME
Lead Engineer AIML
Growth Heist
Hyderabad · onsite · Posted 35d ago
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Not disclosedFresherfulltimeHyderabad
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Section · 01
About this role
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
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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Section · 02
Skills
automation domain specific modelschatbot workcloud-based data and ML servicescore machine learningModel DeploymentAI Architecturegoogle cloud platformamazon web servicesMonitoringvector databasesEmbeddingsCloud AI Platformsagentic frameworksLarge Language Models (LLMs)ML librariesRAG SystemsTensorflowScikit-LearnPythonMicrosoft AzureGenerative AiCi/Cd