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TalentOla
Gen AI Engineer with Python
TalentOla
Gurugram•On-site•1-3 Yrs•2 hours ago
Job description
Overview
Role Overview: You will be responsible for designing, developing, and optimizing Python-based AI/ML applications.
Responsibilities
- Design, develop, and optimize Python-based AI/ML applications
- Build, fine-tune, and deploy Generative AI solutions using modern frameworks
- Integrate AI models with cloud platforms and managed AI services
- Develop scalable APIs and microservices supporting AI workloads
- Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutions
- Implement CI/CD pipelines ensuring code quality, testing, and security
- Monitor and optimize performance, reliability, and cost of cloud AI deployments
- Ensure compliance with data privacy, security, and responsible AI guidelines
- Strong hands-on experience in Python development for Gen AI workloads
- Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
- Understanding/practical knowledge on Agentic AI frameworks
- Design, develop, and optimize Python-based AI/ML applications
- Build, fine-tune, and deploy Generative AI solutions using modern frameworks
- Integrate AI models with cloud platforms and managed AI services
- Develop scalable APIs and microservices supporting AI workloads
- Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutions
- Implement CI/CD pipelines ensuring code quality, testing, and security
- Monitor and optimize performance, reliability, and cost of cloud AI deployments
- Ensure compliance with data privacy, security, and responsible AI guidelines
- Strong hands-on experience in Python development for Gen AI workloads
- Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
- Understanding/practical knowledge on Agentic AI frameworks
Qualifications
- Understanding of privacy-preserving ML techniques and responsible AI practices
- Familiarity with MLOps pipelines, model deployment, and monitoring
- Ability to design scalable, production-ready AI solutions
- Understanding of privacy-preserving ML techniques and responsible AI practices
- Familiarity with MLOps pipelines, model deployment, and monitoring
- Ability to design scalable, production-ready AI solutions