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About the role
Role Overview: You will be responsible for designing, developing, and optimizing Python-based AI/ML applications. Additionally, you will 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, and ensure compliance with data privacy, security, and responsible AI guidelines. Key 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 Qualification Required: - 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 - Experience working with cloud-native AI services on GCP/AWS/Azure - Understanding of privacy-preserving ML techniques and responsible AI practices - Experience working with prompt engineering including tool calling and guardrails - Familiarity with MLOps pipelines, model deployment, and monitoring - Ability to design scalable, production-ready AI solutions Additional Details: The company is looking for a BI professional responsible for understanding business processes, existing dashboards, and data models, and working closely with stakeholders on day-to-day reporting and dashboard queries. The role combines hands-on BI development with business analysis and stakeholder engagement, primarily using QlikView, with MicroStrategy as a secondary tool. The location for this role is in Gurgaon or Bangalore. Note: The additional details section is omitted as it does not provide relevant information for the job description. Role Overview: You will be responsible for designing, developing, and optimizing Python-based AI/ML applications. Additionally, you will 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, and ensure compliance with data privacy, security, and responsible AI guidelines. Key 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 Qualification Required: - 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 - Experience working with cloud-native AI services on GCP/AWS/Azure - Understanding of privacy-preserving ML techniques and responsible AI practices - Experience working with prompt engineering including tool calling and guardrails - Familiarity with MLOps pipelines, model deployment, and monitoring - Ability to design scalable, production-ready AI solutions Additional Details: The company is looking for a BI professional responsible for understanding business processes, existing dashboards, and data models, and working closely with stakeholders on day-to-day reporting and dashboard queries. The role combines hands-on BI development with business analysis and stakeholder engagement, primarily using QlikView, with MicroStrategy as a secondary tool. The location for this role is in Gurgaon or Bangalore. Note: The additional details section is omitted as it does not provide relevant information for the job description.
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