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Lead the design and implementation of a large-scale AI/ML platform focused on intelligent automation, predictive analytics, NLP, and generative AI using Python, LLMs, RAG, AWS, TensorFlow, and MLOps in a fully remote freelance role.
Build and fine-tune AI models using Python, PyTorch, and Hugging Face; develop NLP and computer vision applications in a startup environment.
AI/ML Engineer building and deploying generative AI, NLP, and computer vision models using Python, PyTorch, Keras, and Hugging Face, with RESTful API development for model integration.
AI/ML Intern building and fine-tuning LLMs and other models using Python, PyTorch, and Hugging Face, with exposure to NLP, computer vision, and API development in Pune, India.
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.
Machine Learning Engineer implementing ML solutions on a Procure to Pay project in a hybrid Pune setting, writing clean Python/ML code under senior mentorship with a focus on data preprocessing, model building, and team collaboration.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
The Opportunity Reporting to the Manager, Enterprise Fraud, the Senior Data Specialist, is a core member of the Enterprise Fraud Analytics team. This role focuses on designing, training, and evaluating advanced machine…
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
Builds and modernizes Liquidline’s cloud-first data platform (BigQuery, Airbyte) from legacy on-premise systems, designing scalable data pipelines and AI-ready architectures for acquisitions and analytics.
Senior MLOps Engineer in Singapore builds and maintains AWS-based pipelines to deploy, scale, and monitor machine learning models for manufacturing and semiconductor analytics, focusing on GenAI and classical ML workflows.
Builds and maintains AI/ML systems and infrastructure for a large bank, using Python, ML frameworks, and cloud platforms while integrating enterprise-approved AI-assisted development tools.
Analyzes Disney+ content performance and audience engagement in LATAM using advanced analytics, SQL, Python, and visualization tools to drive data-driven decisions for streaming strategies.
Build and deploy ML models in AWS/Azure for healthcare analytics, refactoring data scientists' code into production batch jobs and optimizing cloud costs.
Entry-level Data Scientist developing and deploying machine learning models for fraud detection and risk assessment using Python, SQL, and popular data science libraries in a cross-functional team.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
The Data Scientist will develop and integrate statistical and machine learning models, including LLMs and AI agents, into core insurance and healthcare business processes. The role involves end-to-end data engineering, model development, and communicating insights to management.
The Associate Director of Data Analytics will design and deliver advanced marketing analytics, measurement, and reporting solutions using SQL, Python, and cloud platforms. This role involves leading complex analytical projects, implementing AI-driven automation, and mentoring a team to provide actionable insights for clients.
The Data Scientist will design and deploy machine learning models and predictive frameworks to optimize business value within Hitachi Energy's Transformers business unit. The role involves collaborating with cross-functional teams to build robust data pipelines using Azure, Databricks, and Python while ensuring model transparency and performance.
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