ML Engineer Project

Design and build internal AI frameworks

Enable teams to integrate AI features efficiently

Requirement gathering and design of AI-driven conversational solutions

Translate business requirements into technical specs

Guide customers through product journey

Build custom demos and prototypes

Lead research direction for advanced AI systems

Guide the design of cutting-edge RAG systems

Develop machine learning models for credit decisions

Automate customer service with NLP/LLMs

Incubate and scale new AI-driven business opportunities

Identify, prioritize, and evaluate new ideas

Lead and mentor a team of Data Scientists.

Define and execute AI/ML strategy aligned with business objectives.

Lead and mentor a high-performing data science team

Architect and deploy advanced AI models for customer service

Lead AI Agent Pilots & Implementations

Understand & Map GTM Workflows

Design and implement event-driven systems

Build scalable, real-time microservices

Seeking experienced Software Engineers with Google Cloud expertise

Developing technical design solutions and leading implementation teams

Seeking experienced Cloud Engineer with Google Cloud expertise

Responsibilities include understanding client requirements, developing technical designs, and leading implementation projects

Create concept art for a post-apocalyptic video game

Utilize multiple artistic styles for different game elements

Create concept art for a post-apocalyptic video game

Utilize Stable Diffusion, AI art, and LoRAs

Develop AI tools and React apps for student learning

Collaborate with product managers, designers, and curriculum writers

Develop and deploy AI applications leveraging LLMs and Azure AI services.

Mentor IT staff and provide technical leadership.

Analyze threat actor behavior and abuse patterns.

Research and implement abuse detection techniques.

Analyze threat actor behavior and abuse patterns.

Implement abuse detection techniques.

Develop, maintain, and support libraries and integrations for Elastic Stack.

Contribute to open-source projects and engage with developer communities.

Analyze threat actor behavior and abuse patterns

Research and implement abuse detection techniques

Analyze threat actor behavior and evolving abuse patterns.

Develop and implement state-of-the-art techniques for abuse detection.

Analyze threat actor behavior & evolving abuse patterns

Implement advanced techniques for abuse detection & prevention

Build AI-powered front desk assistant for wellness businesses

Design robust web and messaging services for conversations/workflows

Developing well-rounded Celonis Services professionals

Deploying high-value use cases with data analytics, ML, and GenAI

Analyze threat actor behavior and abuse patterns.

Implement abuse detection techniques.

Lead content strategy and set standards for agentic products

Design, author, and evaluate prompts and system instructions

Maintain and improve SaaS infrastructure

Build and manage infrastructure on GCP/AWS

Lead the vision, strategy, and roadmap for voice automation and AI voice agents.

Collaborate with engineering and design to deliver scalable AI voice solutions and user flows.

Analyze threat actor behavior and evolving abuse patterns

Research and implement AI-driven techniques for abuse detection

Lead AI product strategy for marketing platform

Design AI experiences for marketers

Analyze threat actor behavior across datasets

Implement state-of-the-art techniques for abuse detection

Define AI/ML agents for reliability

Prototype agent behaviours

Requirement gathering and design of AI-driven conversational solutions

Translate business requirements into technical specs

Architect, build, and deploy ML models for AI products.

Collaborate with product and design teams for fast AI feature productionization.

Lead and manage a team of engineers working on AI features.

Collaborate with various teams to deliver AI features.

Develop strategic API sales plan

Lead and mentor sales team

Drive technical success post-sale

Implement and scale ML pipelines and GenAI workflows

Lead AI product strategy for performance marketing

Design AI experiences for marketer-first platforms

Understand and embed within customer organizations

Deliver high-impact technical solutions

Architect multi-cloud systems for Scale AI's platform.

Collaborate with platform, product teams, and customers to scale infra.

Partner with cross-functional teams to identify AI opportunities

Design and deploy LLM-powered features for underwriting

Develop and deploy Python code for real-time bidding and optimization

Train, deploy, and monitor ML models for ad decisions at scale

Design and build production-grade AI internal tools

Develop full-stack systems with modern frontend and cloud backends

Analyze threat actor behavior and abuse patterns

Implement state-of-the-art LLM-driven techniques

Lead architecture for integrating features with LLMs and diffusion models

Maintain high quality AI features while delivering value incrementally

Design and deliver onboarding programs for GTM new hires

Improve post-launch onboarding processes

Drive new business and growth across industries

Understand client objectives and pain points