Leads AI/ML architecture and implementation for product enhancements, collaborating with data scientists and software engineers on model design, research, deployment, and mentoring. Core tech: Python, TensorFlow, AWS, Scikit-learn, SQL.
Role Summary Join our dynamic team as an AI Architect and play a pivotal role in shaping the future of our engineering organization within the Information Technology industry. With a focus on driving architectural…
Role Summary Join our innovative team as an ML Engineer, where you will drive transformational change within the Information Technology industry. In this role, you will lead complex initiatives, develop advanced…
Role Summary Join our team as a Machine Learning Engineer, where you will play a critical role in driving innovation within the Information Technology industry. You will be involved in exciting projects that leverage…
Role Summary We are seeking an innovative Ai/ml Engineer to join our team working on the ExpertsHub project in the IT industry. This role is pivotal in shaping the technical landscape of our projects, driving…
Role Summary We are seeking a Data Scientist with 4 to 6 years of experience in the IT industry to join our dynamic team in Pune, Maharashtra, India. This role is critical for driving data-driven decision-making and…
Job Description: We are looking for an experienced AI/ML Engineer with strong hands-on experience building and deploying intelligent applications using Snowflake Cortex, LLM APIs, and modern data science and ML…
A Machine Learning Engineer working in a hybrid freelance role in Pune, India, implementing ML solutions under mentorship from senior developers on a Procure to Pay project. The role focuses on clean, maintainable code, basic validations, and collaboration with cross-functional teams using Python, Scikit-learn, NumPy, Pandas, and Jupyter Notebooks.
Ai Research Engineer - Drive Innovation & Impact Take ownership of meaningful projects in the IT industry while collaborating with a talented team of engineers. This role is perfect for those ready to level up…
AI/ML Intern at Expertshub.ai in Pune, Maharashtra — builds ML models, trains LLMs, develops RESTful APIs for AI deployments, and works with Hugging Face and PyTorch.
AI/ML Engineer at Expertshub.ai building generative AI models, NLP applications, and LLMs using PyTorch, Hugging Face, and transformer frameworks.
AI/ML Intern supporting LLM training, fine-tuning, and RESTful API deployment using Hugging Face and PyTorch.
Data Engineer builds and maintains scalable data pipelines supporting AI/ML model training workflows, collaborating with AI Researchers and ML Engineers on data quality, preprocessing, and dataset readiness. Core technologies include Python, SQL, Airflow, and PyTorch/TensorFlow for feature engineering and ETL.
An Applied AI Engineer at Alfred Labs in Los Angeles builds and deploys advanced AI solutions — including LLMs and computer vision — working end-to-end on features from conception to production. The role requires 2+ years of applied AI experience with hands-on model training and deployment, and uses Python, TensorFlow, NLP, and cloud/ML tooling.
Title: Freelance Ai/ml Engineer Industry: IT | Work Mode: Remote | Location: Remote Role Summary We are seeking a highly skilled Freelance Ai/ml Engineer to contribute to our project titled “AI/ML Engineer (LLM, RAG,…
Title: Freelance Ai/ml Engineer — Manager/Architect Industry: IT | Work Mode: Remote Role Summary We are seeking a skilled Ai/ml Engineer to join our team for the project titled AI/ML Engineer (LLM, RAG, Python) -…
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports…
Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to…
Scientific Data Engineer at Dassault Systèmes BIOVIA in Cambridge curates, validates, and builds pipelines for a scientific materials database, integrating it with CAD design, simulations, and lab tools. Core technologies include Python, SQL/NoSQL, machine learning, and scientific ontologies.
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