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Build and deploy enterprise-grade LLM applications using RAG, AI Agents, and vector databases like Milvus/Qdrant. Develop Python-based AI workflows and APIs for real-world production use.
Part-time coach teaching Python, AI, and robotics to students using PyTorch/TensorFlow and hands-on hardware projects in an edtech startup.
Build and optimize LLM-based trading tools like Q&A systems and agents using Python, prompt engineering, and transformer models for a crypto derivatives exchange.
Build and deploy large language models using Python/Java, TensorFlow/PyTorch, and AWS cloud services to enhance AI capabilities.
Build and deploy AI-powered banking apps using LLMs, RAG pipelines, and Python; automate workflows with n8n and Kubernetes.
Design and deploy AI/ML models (LLMs, GenAI, CV) and agentic systems for clients, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy deep-learning NLP models, fine-tune LLMs, and implement RAG and agentic AI systems while maintaining MLOps pipelines.
A leading global law firm is seeking a Manager of AI & ML Applications to help shape and drive its AI strategy. This is a hands‑on leadership role for someone who can balance immediate implementation with long‑term…
Senior ML Engineer builds and deploys transformer-based NLP models to auto-score exam answers, owning the full lifecycle from training to cloud deployment and bias mitigation.
Build foundational cognitive AI architecture using algorithmic programming and OOP, focusing on complex computational problems rather than traditional ML models.
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Design and deploy predictive analytics and AI models using SQL, Python/R, and cloud tools to drive business decisions in HR tech.
Build and maintain speech-data pipelines that feed production ASR models, including audio processing, text normalization, and quality validation.
Designs and maintains scalable data architectures and ML pipelines, ensuring robust data governance and high-quality training data for NLP models.
Builds Python-based APIs and cloud data pipelines to aggregate financial data and automate text processing for a BPO firm.
Builds and maintains big-data pipelines and APIs using Python, Spark, Kafka, Hadoop, and SQL to process and analyze large datasets for IBM clients.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Designs and deploys ML models for localization workflows using Python, TensorFlow, and AWS services; owns projects from conception to production.
Build and deploy AI/ML models to automate business processes and generate insights from ERP data using frameworks like TensorFlow or PyTorch.
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