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Builds and scales next-gen software for Google’s global products (search, AI, cloud, mobile, etc.), working full-stack on distributed systems, AI/ML, and large-scale infrastructure to serve billions of users.
Senior ML Engineer builds and scales search, recommendation, and LLM systems using semantic embeddings, ranking algorithms, and NLP techniques to improve product intelligence.
Senior ML Engineer builds and deploys ranking, semantic-search, and recommender systems using LLMs and vector databases to deliver personalized financial insights for global professionals.
Build and scale Netomi’s agentic AI platform, designing systems that turn messy enterprise knowledge into structured, production-grade AI agents for customer experience automation.
Designs, tests, and refines AI prompts to improve generative AI outputs for customer support, content generation, and automation across industries like healthcare, retail, and finance.
POSITION OVERVIEW MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer…
Build and deploy enterprise-scale AI/ML models to power predictive analytics and automation for a global BPO and CX provider, using Python and cloud platforms.
Build and deploy machine learning models to automate and optimize business processes, using Python and cloud platforms to drive operational efficiency and strategic insights.
Build agentic AI systems that plan and act in real materials-discovery workflows, integrating PyTorch/JAX models with lab robots and experiments.
Build and scale Python backend services for AI/NLP applications using Django/Flask/FastAPI, integrate APIs, and deploy on cloud platforms like AWS.
Build data-driven models and dashboards to monitor market participant activity, enforce trading rules, and automate regulatory reporting using Python, SQL, and cloud platforms.
Designs and implements AI-enhanced test automation frameworks (Playwright/Cypress) for enterprise clients, integrating AI tools for test generation and self-healing selectors.
Senior DevOps/LLMOps engineer building AI-driven automation and cognitive solutions, deploying LLMs, and maintaining cloud/data pipelines for PwC’s Data & Analytics practice.
Build and maintain data pipelines, APIs, and full-stack apps to turn raw data into insights for PwC’s clients using Python, PySpark, SQL, ReactJS, and machine learning.
Builds and maintains PPG’s global eCommerce platforms using .NET Core, Angular, and Azure, integrating internal systems and optimizing with AI tools like GitHub Copilot.
Lead AI and Python development teams to design, build, and deploy machine-learning solutions in the cloud using Agile practices.
Lead a team to design and deliver Python-based GenAI solutions, guiding architecture, cloud deployment, and responsible AI practices for enterprise clients.
Lead the design and deployment of enterprise-scale AI/ML and LLM solutions, including generative AI, RAG, and knowledge graphs, while mentoring teams and ensuring Responsible AI compliance.
Test engineer role focused on validating AI-powered conversational solutions, using tools like Postman and Playwright to ensure high-quality, customer-ready outputs.
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