AI Product Owner Teamplus Staffing Solution

8.0 - 10.0 years

20 - 25 Lacs

Chennai

Work from Office

Product Owner, Product Manager, AI/ML technologies & understanding of data pipelines. Agile/Scrum. stakeholder management & communication skills.AI governance, ethical AI considerations & regulatory compliance. UX/UI.

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Artificial Intelligence Consultant Capgemini

9.0 - 13.0 years

0 - 3 Lacs

Pune, Bengaluru

Hybrid

Role & responsibilities • Provide expert consultancy and guidance for AI and cyber security, with a focus on implementing robust security measures. • Advise on the deployment of security guardrails for Generative AI applications. • Advise on AI ethics and ensure compliance with industry standards. • Conduct risk assessments and provide recommendations on improving security posture. • Collaborate with cross-functional teams to integrate AI security solutions. • Deliver training sessions on AI security best practices and tools. • Assist in the development of security policies and procedures. • Stay updated with the latest trends and advancements in AI and cyber security. Preferred candidate profile • Minimum 3 years of experience in AI consultancy or 5-10 years in DEVSECOPS. • Proven track record in cyber consultancy. • AIGP or similar certification. • Cloud security certifications are mandatory. • Certified AI security engineer or proven experience in AI security. • Strong understanding of AI ethics. • Experience in deploying security measures for Generative AI. • Relevant technical and non-technical certifications/memberships in cyber security. • Experience in AI within financial services, particularly corporate banking. • Excellent communication and teamwork skills. • Trainer skillsets.

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AI Tech Lead - AI Architect - AWS Cloud Solutions UST

15 - 24 years

20 - 35 Lacs

Kochi, Chennai, Thiruvananthapuram

Work from Office

Roles and Responsibilities: Architecture & Infrastructure Design Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch . Develop Infrastructure as Code (IaC) using Terraform , and automate deployments with CI/CD pipelines . Optimize cost and performance of cloud resources used for AI workloads. AI Project Leadership Translate business objectives into actionable AI strategies and solutions. Oversee the entire AI lifecycle from data ingestion, model training, and evaluation to deployment and monitoring. Drive roadmap planning, delivery timelines, and project success metrics. Model Development & Deployment Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases . Implement frameworks for bias detection, explainability , and responsible AI . Enhance model performance through tuning and efficient resource utilization. Security & Compliance Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards , and regulatory frameworks. Perform regular audits and vulnerability assessments to ensure system integrity. Team Leadership & Collaboration Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. Promote cross-functional collaboration with business and technical stakeholders. Conduct technical reviews and ensure delivery of production-grade solutions. Monitoring & Maintenance Establish robust model monitoring , alerting , and feedback loops to detect drift and maintain model reliability. Ensure ongoing optimization of infrastructure and ML pipelines. Must-Have Skills: 10+ years of experience in IT with 4+ years in AI/ML leadership roles. Strong hands-on experience in AWS services : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. Expertise in Python for ML development and automation. Solid understanding of Terraform, Docker, Git , and CI/CD pipelines . Proven track record in delivering AI/ML projects into production environments . Deep understanding of MLOps, model versioning, monitoring , and retraining pipelines . Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation. Knowledge of cloud security best practices and IAM role configuration. Excellent leadership, communication, and stakeholder management skills. Good-to-Have Skills: AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. Familiarity with data privacy laws and frameworks (GDPR, HIPAA). Experience with AI governance and ethical AI frameworks. Expertise in cost optimization and performance tuning for AI on the cloud. Exposure to LangChain , LLMs , Kubeflow , or GCP-based AI services .

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