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Senior AI/ML Engineer
Build and deploy AI-powered applications using LLMs, RAG pipelines, and vector search. Integrate LLM APIs into production systems with Python and cloud tools.
AI Engineer
Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.
Principal/Staff Machine Learning Engineer (Generative AI + LLM)
Lead the design and deployment of generative AI models and LLMs, optimizing performance and scaling solutions on cloud platforms while mentoring ML teams.
Senior Software Engineer - Data Engineering & AI
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them via MLOps, and maintains cloud-based data infrastructure for intelligent applications.
Software Architect
Designs the architecture for self-learning AI agents and GenAI systems, focusing on orchestration, reasoning layers, and scalable production pipelines.
Data Engineer
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Senior Software Engineer
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to improve search, recommendations, and automation.
Software Engineer I | University Events 2026 | NextGen | Careem Engineering
Build and maintain scalable backend services using Java/Spring Boot and AWS while learning AI-driven automation to improve Careem’s mobility platform.
Senior Software Engineer / AI Developer
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to automate workflows and improve user experience.
Associate Software Engineer – AI/LLM Applications
Build production-grade AI agents and LLM-powered features like chatbots and RAG systems using Python, FastAPI, and third-party models (OpenAI, Gemini, Claude).
Sr Python Developer
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Senior DevOps Engineer (DataOps)
Owns Kubernetes clusters, GitLab CI/CD, and Airflow pipelines to keep data workflows reliable and SLA-compliant.
AI Software Engineer
Build and deploy AI solutions for enterprise clients using cloud platforms (Azure/AWS), large language models, and MLOps pipelines in Python.
AI Engineer
Build and deploy cutting-edge computer-vision models in Python, turning research into production-grade edge-AI systems and collaborating with product teams on roadmaps and commercialization.
Data Science Analyst: Build Global ML Pipelines & Insights
Build and automate global ML pipelines for predictive analytics in insurance, collaborating with teams to translate insights and scale models.
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines
Designs and maintains AI-driven data pipelines and MLOps workflows in Python, optimizing data processing for ML initiatives.
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines
Designs and maintains AI-driven data pipelines and MLOps infrastructure using Python and big data tech on AWS/Azure.
ETL Developer – AI-Driven Data Pipelines
Build and optimize AI-assisted ETL pipelines to integrate and transform healthcare data for analytics and compliance, using SQL, Talend/SSIS, and cloud tools.
Python & Kubernetes Data Platform Engineer
Build and maintain Python-based data analytics and MLops platforms on Kubernetes for Canonical’s open-source cloud solutions.
Remote ML Engineer: LLMs, Data Pipelines & MLOps
Build and deploy ML models end-to-end, focusing on LLMs, data pipelines, and MLOps for client projects using Python and scalable infrastructure.