Top Tech Jobs & Startup Jobs

Design, develop, validate, and deploy AI/ML and deep learning models; collaborate with stakeholders; mentor junior engineers; ensure data governance, security, and quality; produce reports and contribute to project planning.

Design user interfaces and experiences for AI products by creating wireframes, prototypes, and high-fidelity designs; conduct user research and usability testing; develop design systems; ensure accessibility and collaborate with product managers, engineers, and stakeholders to meet product goals.

Design, develop, and maintain front-end interfaces for AI-driven applications. Collaborate with data scientists and engineers to integrate AI models, ensure performance and security, conduct testing and code reviews, mentor junior engineers, and contribute to project planning and documentation.

Manage deployment, monitoring, and maintenance of AI models and systems. Build and operate CI/CD pipelines, automated monitoring/alerting, and scalable infrastructure. Collaborate with data scientists, ensure compliance with governance/security standards, troubleshoot performance issues, document procedures, and provide technical guidance to the AI Ops team.

Design, implement, and maintain CI/CD pipelines and automation for AI models and applications. Use IaC (Terraform/Ansible), monitor pipelines (Prometheus/ELK), ensure security and compliance, collaborate with AI engineers, optimize deployments, document processes, and provide technical guidance.

Lead development and execution of PR and media strategies, manage events and influencer partnerships, secure media coverage, craft communications and crisis plans, track campaign performance, manage budgets, and collaborate with internal teams to protect and grow company and client reputations.

Manage client relationships as primary contact, lead meetings, develop communication strategies, coordinate internal teams, track and report campaign performance, manage budgets and contracts, and drive continuous optimization to meet client objectives.

Lead and oversee data annotation for AI training sets: plan and coordinate tasks, ensure quality and consistency, develop guidelines, collaborate with data scientists, mentor junior annotators, train on annotation tools, produce reports, and contribute to project planning and deliverables.

Design and deliver scalable AI solutions for media use cases. Define AI architectures, conduct technical feasibility, collaborate with product and engineering teams, monitor deployed models, maintain architecture documentation and best practices, provide technical leadership, and present proposals to senior stakeholders.

Lead design and development of front-end interfaces for AI-driven applications, collaborate with AI teams, ensure performance and security compliance, perform code reviews, mentor junior engineers, and contribute to project planning and documentation.