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Module Lead AI/ML
Leads AI/ML projects, designing and deploying generative AI apps, fine-tuning LLMs, and building scalable MLOps pipelines in Python.
Python Consultant Architect
Leads AI/ML architecture and development for enterprise generative AI solutions, focusing on LLM fine-tuning, modular workflows, and cloud deployments with frameworks like LangChain and FastAPI.
Senior ML Engineer
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
Senior Engineering Manager, Data Science
Lead a team of data scientists and analysts to build and deploy ML models for Truecaller's enterprise products, focusing on risk mitigation, fraud detection, and business intelligence using Python, SQL, and cloud infrastructure.
Solution Architect, GenAI
Designs and scales GenAI-powered applications for ZEISS, focusing on enterprise-grade solutions like copilots, agents, and smart workflows using Azure and LLMs.
Senior Analyst-Data Science
Builds and deploys AI/ML models (including generative AI) for fintech applications, optimizing performance and integrating solutions into existing systems while staying updated on industry trends.
Senior ML Engineer
Senior ML Engineer at Truecaller will optimize ML model training and deployment, focusing on mobile platforms, and collaborate with teams to establish best practices. Core technologies include TensorFlow, PyTorch, ONNX, and mobile ML frameworks like TensorFlow Lite and Core ML.
Аналитик данных (Риски)
Разработка мультиагентной AI-системы для раннего выявления рисков в сегменте микробизнеса. Сбор данных, обучение LLM-агентов, построение прогнозных моделей и интеграция решений с финансовыми департаментами.
Middle DS/ML engineer
Day-to-day: adapt neural models (NLP/CV) for bank tasks, prep datasets, train on GPU, develop LLM/multimodal pipelines, deploy. Core tech: Python, PyTorch/TensorFlow, GPU.
Engineering Analyst, Chrome Extensions Security, Trust and Safety
Investigates and mitigates abuse in Chrome extensions via technical analysis, reverse engineering, and AI-driven detection systems to protect users and the platform.
[EAF] Senior Data Science Engineer
Build and deploy ML models, design data pipelines, and create dashboards to turn large datasets into business insights using Python, R, and modern AI frameworks.
Machine Learning Engineer - Emirati national
Machine Learning Engineer leading the full lifecycle of ML models (LLMs, predictive models) from research to production, using Python, TensorFlow, and PyTorch in Abu Dhabi.
Technical Architect/PO
Architect and lead AI-driven product development, defining roadmaps and KPIs while integrating LLMs, vector DBs, and cloud-native systems for enterprise clients.
Angular Developer with AI/ML Integration
Develop front-end applications using Angular, integrating AI/ML models and APIs to enhance user experience, working with cross-functional teams to implement and optimize AI-powered features.
Senior AI Engineer
Senior AI Engineer designing and deploying ML/DL models and LLM-based solutions for healthcare and business use cases, using Python, PyTorch/TensorFlow, NLP libraries, Docker, and cloud platforms.
AI/Deep Learning Engineer Intern, Computer Vision
Intern develops and evaluates deep learning models for computer vision tasks like image segmentation and 3D reconstruction to inspect infrastructure, working with PyTorch/TensorFlow in a startup focused on AEC industry tech.
Senior Systems Engineer - AI/ML Data Analysis
Senior Systems Engineer builds and owns an AI-powered data-analysis tool for Navy submarine patrol data, using Python and ML to extract mission insights and automate workflows.
Data Scientist / Machine Learning Engineer
Develops and deploys ML/AI models (clustering, classification, NLP, anomaly detection) in production pipelines using TensorFlow/PyTorch, integrates with Azure/Google Cloud, and ensures responsible AI compliance.
iOS Software Engineer
Builds and maintains a production-grade iOS app where AI-driven workflows (task completion, context management) are central; owns UX for AI interactions, performance, and reliability with Swift/SwiftUI.