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Semi-Senior Software Engineer (Product Engineering Team)
Build and scale the AI-powered chat platform that lets users send remittances via WhatsApp, using Python, FastAPI, and Google Cloud while crafting conversational interfaces.
iOS SDK Technical Lead, Android XR
Lead the design and development of an iOS SDK for Android XR, building frameworks that enable XR experiences on iOS devices with robust connectivity, sensor streaming, and power optimization.
Senior Data Scientist, Search AI Mode
Build and evaluate AI-powered search features using LLMs and multi-modal models to improve conversational, synthesized answers for billions of users.
Staff Software Engineer, Audio Platform, XR
Build and lead the audio platform for XR smart glasses and headsets, designing low-latency DSP pipelines, tuning acoustics, and integrating AI-driven audio features.
Software Engineer III, Google Cloud, Dataform
Builds backend APIs and services for Dataform, a Google Cloud tool for data transformation pipelines, using languages like Kotlin/Java/Go and focusing on scalability and reliability.
Data Scientist / Machine Learning Engineer
Build and deploy AI models, including computer vision, NLP, and LLM applications, while integrating them into full-stack and web apps.
Software Engineering Manager II, Google Cloud
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
AI/ML Architect
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Software Engineer
Entry-level software engineer in a 3-week training program, then placed in a hybrid role in Union, NJ. Build Python APIs, data pipelines, and AI/ML features for financial services.
Generative AI Expert
Design and deploy generative AI models (LLMs, ML) to transform HR and corporate services at a large government enterprise, advising leaders and building AI teams.
AI Research Intern
At Bynder, we don’t just store creative assets; we enable brands to deliver exceptional content experiences that drive business impact. In an era of exploding content volume and complexity, the world’s most iconic…
Data scientist
Build and deploy predictive and NLP models for fintech, analyzing time-series data and integrating multiple sources to optimize financial outcomes.
Machine Learning Engineer – Onsite Karachi, Growth & Perks
Build and deploy ML models using TensorFlow and NLP in Python, analyzing datasets to create predictive solutions for a product-focused team.
Entry-Level Machine Learning Engineer — NLP & DL Focus
An entry-level ML engineer focused on NLP and deep learning, building and deploying models by preprocessing data, engineering features, and collaborating with senior teams to solve real-world problems.
Senior Machine Learning Engineer
Build and deploy ML models for a multimodal AI platform using LLMs, RAG, and computer vision to enhance auto-tagging, OCR, and content analysis for enterprise clients.
Remote AI Deep Learning Engineer
Develops and implements AI/deep-learning models for computer vision and NLP, trains them on large datasets, and integrates solutions with cross-functional teams using Python and frameworks like TensorFlow or PyTorch.
Principal Data Scientist
Principal Data Scientist at i2c Inc leading fraud detection and AI systems, including transaction fraud, RAG chatbots, and agentic digital-CSR, while managing a team of ~20 data scientists.
Senior AI/ML Engineer
Builds, deploys, and optimizes AI/ML models and pipelines for enterprise products, integrating GenAI, NLP, and predictive analytics into scalable systems.
MTO AI Engineer
Build and deploy AI models with TensorFlow/PyTorch, assist in data prep and model training, and integrate AI modules into applications under senior engineers.
Trainee AI Engineer
Trainee AI Engineer builds and fine-tunes AI models (GenAI, NLP, or CV) in Python under senior mentorship, focusing on data prep and model deployment.