ML Engineer Project

Develop an interpretable recommendation engine for product selection.

Replace legacy algorithm with robust statistical models.

Scale ElevenReader’s global growth through technical and marketing initiatives

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

Architect and maintain high-performance backend infrastructure

Integrate advanced AI and LLM technologies into data workflows

Build and maintain advanced web crawlers

Automate data extraction for diverse websites

Design scalable data infrastructure

Integrate advanced AI/ML features

Design and build scalable Python applications

Collaborate with global teams and clients

Develop and operationalize AI/ML products

Integrate and optimize LLM applications

Lead backend development for AI-powered data solutions

Architect scalable systems and APIs for enterprise clients

Develop advanced web crawlers using Python.

Overcome scraping challenges like IP bans and captchas.

Lead backend platform development

Enhance developer experience and tooling

Architect scalable and resilient data systems

Design and evolve secure multi-tenant infrastructure

Design and build scalable Python applications

Collaborate with clients and distributed teams

Lead backend development for AI-powered 3D product experiences

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

Build scalable full stack applications

Enhance customer and support experiences

Design and deploy scalable backend systems

Develop and integrate performant REST APIs

Design scalable backend infrastructure for AI-powered data operations.

Integrate advanced LLM architectures and agentic AI into enterprise workflows.

Develop robust web crawlers for diverse sources

Overcome technical scraping challenges (bans, CAPTCHAs)

Develop infrastructure and tools for LLM-based AI agents

Support researchers with robust development environments

Develop and optimize large language models for business impact.

Integrate LLM-powered features into sports betting products.

Build scalable full stack web applications

Enhance customer experience for support professionals

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.

Develop and optimize Text-to-Speech systems.

Lead evaluations and collaborate with linguistic teams.

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

Design and implement integrations with internal and external APIs.

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

Develop and maintain RESTful APIs using FastAPI.

Build AI agent coordinating service in Python

Develop scalable web platform with gRPC

Revolutionize enterprise data operations through AI automation.

Develop high-performance backend systems for AI solutions.

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

Lead AI/ML projects and integrate them into applications.

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

Lead AI/ML project development and integration.

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

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

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

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

ls from scratch, Ensure AI

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