ML Engineer Project

Architect and maintain high-performance backend infrastructure

Integrate advanced AI and LLM technologies into data workflows

Lead backend development for AI-powered data solutions

Architect scalable systems and APIs for enterprise clients

Design and build scalable AI-driven backend systems

Integrate advanced language models into data workflows

Revolutionize enterprise data operations through AI solutions.

Automate and accelerate data tasks for overworked data teams.

Revolutionize enterprise data operations through AI automation.

Develop high-performance backend systems for AI solutions.

Lead backend platform development

Enhance developer experience and tooling

Build and maintain advanced web crawlers

Automate data extraction for diverse websites

Develop advanced web crawlers using Python.

Overcome scraping challenges like IP bans and captchas.

Designing and building applications using Python

Supporting component design and maintenance

Design and build applications using Python

Support component design and maintenance

Design and build scalable Python applications

Collaborate with global teams and clients

Design and build scalable Python applications

Collaborate with clients and distributed teams

Develop and optimize large language models for business impact.

Integrate LLM-powered features into sports betting products.

Design scalable data infrastructure

Integrate advanced AI/ML features

Build and deploy scalable AI systems for production use.

Develop advanced multi-agent architectures and conversational AI.

Architect scalable and resilient data systems

Design and evolve secure multi-tenant infrastructure

Build scalable full stack applications

Enhance customer and support experiences

Develop and maintain full stack web and mobile applications.

Implement and automate robust backend API services.

Develop and maintain software development policies and procedures, Monitor cloud environments, Work

closely with other teams, Uphold high standards in code reviews, Stay up-to-date with emerging

Develop and improve AI systems, Build APIs and backends, Design features for AI products, Train

ls from scratch, Ensure AI

Lead team in developing compliance features, Drive initiatives to enhance device security,

te with product and design teams, Build scalable frontend and backend applications, Implement agile

- Lead technical implementation of AI solutions - Advance to Solution Architect role - Exposure

o diverse technical challenges - Professional development and certification support - Flexible

Architect and build large-scale web applications using Python frameworks.

Lead AI/ML project development and integration.

Architect and build large-scale web applications using Django, Flask, FastAPI.

Lead AI/ML projects and integrate them into applications.

Build AI agent coordinating service in Python

Develop scalable web platform with gRPC

Lead and mentor team members in a global, remote environment.

Develop and maintain RESTful APIs using FastAPI.

Contribute to the development and maintenance of the company's core product.

Design and implement integrations with internal and external APIs.

Develop and optimize Text-to-Speech systems.

Lead evaluations and collaborate with linguistic teams.

Develop infrastructure and tools for LLM-based AI agents

Support researchers with robust development environments

Design and deploy scalable backend systems

Develop and integrate performant REST APIs

Lead backend development for AI-powered 3D product experiences

Optimize LLM orchestration pipelines for low-latency, high-throughput response

Scale ElevenReader’s global growth through technical and marketing initiatives

Develop and optimize programmatic and branded web pages for SEO and conversion

Develop an interpretable recommendation engine for product selection.

Replace legacy algorithm with robust statistical models.

Developing and maintaining MCP-compatible evaluation servers

Implementing logic to check agent actions against scenario definitions

Hiring Software Engineers for AI system training

Remote position open globally

Design and implementation of features

Architectural discussions and proposing improvements

Provide L1/L2 support during live events and tradeshows

Analyze and troubleshoot data discrepancies using PostgreSQL

Lead cross-functional teams to deliver customer value

Guide architectural decisions across tech stacks

Design and build backend tools for operations

Collaborate with teams for integration

Design and build backend services for data processing

Implement and improve data pipelines and APIs

Connect developers around the world with opportunities.

Lead design and implementation of scalable backend services.

Front-end focused work on web apps and mobile SDKs

Architect frontend experiences for customers and partners

Own and extend FastAPI backend components

Build end-to-end features connecting databases to APIs and frontend

Design AI automation pipelines

Build OCR-based data extraction for invoices and unstructured docs

Design and build internal pricing service and data models for Python rating engines

Collaborate across engineering, pricing, and product to scale pricing platform

Lead the design and production of AI services.

Mentor engineers and promote best practices.

Lead architecture and delivery of cloud-native applications.

Mentor junior and mid-level engineers.

Develop and maintain Python applications.

Collaborate effectively with team and government clients.

Lead a fullstack engineering team.

Set technical direction for AI workflows.

Connect top developers with opportunities.

Lead the design and implementation of scalable backend services.