Job Title : AI Product manager
Experience : 7-10 Years
Location : Bengaluru
Roles & Responsibilities
- Lead end-to-end delivery of AI/ML and Generative AI solutions from design to production.
- Design and implement scalable AI architectures (data pipelines model serving APIs integrations).
- Translate business requirements into technical solutions system designs and delivery plans.
- Guide model development selection and evaluation across ML DL NLP and LLM use cases.
- Build and manage MLOps pipelines (CI/CD model versioning deployment monitoring retraining).
- Develop and review code for data processing training workflows and inference systems.
- Implement GenAI solutions (RAG embeddings vector search prompt management guardrails).
- Ensure responsible AI practices (data privacy bias mitigation explainability security).
- Optimize system performance for scalability latency and cost efficiency.
- Monitor production systems troubleshoot issues and lead root cause analysis (RCA).
- Mentor teams conduct code/design reviews and drive engineering best practices.
- Collaborate with cross-functional teams to deliver high-quality AI solutions.
Requisites
- Bachelors degree in Computer Science Engineering Data Science or related field.
- Strong proficiency in Python and ML frameworks (PyTorch TensorFlow scikit-learn).
- Deep understanding of ML engineering concepts (feature engineering training evaluation inference).
- Experience with cloud platforms and cloud-native architectures.
- Hands-on experience with Docker Kubernetes and API development (REST/gRPC).
- Strong knowledge of MLOps practices (CI/CD model registry monitoring drift detection).
- Solid understanding of data engineering fundamentals (ETL/ELT SQL data pipelines).
- Experience in model monitoring observability and production support.
- Familiarity with Generative AI/LLM concepts (RAG embeddings prompt engineering).
- Knowledge of security governance and responsible AI frameworks.
Required Skills:
AIGen AIPythonMachine LearningAzure
Job Title : AI Product managerExperience : 7-10 YearsLocation : BengaluruRoles & Responsibilities Lead end-to-end delivery of AI/ML and Generative AI solutions from design to production. Design and implement scalable AI architectures (data pipelines model serving APIs integrations). Translate bus...
Job Title : AI Product manager
Experience : 7-10 Years
Location : Bengaluru
Roles & Responsibilities
- Lead end-to-end delivery of AI/ML and Generative AI solutions from design to production.
- Design and implement scalable AI architectures (data pipelines model serving APIs integrations).
- Translate business requirements into technical solutions system designs and delivery plans.
- Guide model development selection and evaluation across ML DL NLP and LLM use cases.
- Build and manage MLOps pipelines (CI/CD model versioning deployment monitoring retraining).
- Develop and review code for data processing training workflows and inference systems.
- Implement GenAI solutions (RAG embeddings vector search prompt management guardrails).
- Ensure responsible AI practices (data privacy bias mitigation explainability security).
- Optimize system performance for scalability latency and cost efficiency.
- Monitor production systems troubleshoot issues and lead root cause analysis (RCA).
- Mentor teams conduct code/design reviews and drive engineering best practices.
- Collaborate with cross-functional teams to deliver high-quality AI solutions.
Requisites
- Bachelors degree in Computer Science Engineering Data Science or related field.
- Strong proficiency in Python and ML frameworks (PyTorch TensorFlow scikit-learn).
- Deep understanding of ML engineering concepts (feature engineering training evaluation inference).
- Experience with cloud platforms and cloud-native architectures.
- Hands-on experience with Docker Kubernetes and API development (REST/gRPC).
- Strong knowledge of MLOps practices (CI/CD model registry monitoring drift detection).
- Solid understanding of data engineering fundamentals (ETL/ELT SQL data pipelines).
- Experience in model monitoring observability and production support.
- Familiarity with Generative AI/LLM concepts (RAG embeddings prompt engineering).
- Knowledge of security governance and responsible AI frameworks.
Required Skills:
AIGen AIPythonMachine LearningAzure
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