Sr. Developer
2 weeks ago
Bengaluru Pune, KA, India
H&B Hr Solutions
Full-time
₹18,00,000 - ₹25,00,000/year
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Job Requirements\*
- Strong handson 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 cloudnative AI services on GCP/AWS/Azure
- Understanding of privacypreserving 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, productionready AI solutions
Key Responsibilities
\*
- Design, develop, and optimize Pythonbased AI/ML applications
- Build, finetune, 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 endtoend 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 handson 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 cloudnative AI services on GCP/AWS/Azure
- Understanding of privacypreserving 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, productionready AI solutions
Key Responsibilities
\*
- Design, develop, and optimize Pythonbased AI/ML applications
- Build, finetune, 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 endtoend 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