Agile Dream Team is an innovative company that specializes in AI-driven solutions and agile software development. The company offers nearshore development teams that combine top talent with agile methodologies to deliver effective enterprise software, AI/ML engineering, and data infrastructure solutions. With a focus on several industries including FinTech, HealthTech, and eCommerce, Agile Dream Team aims to accelerate innovation and enhance operational efficiency by leveraging cutting-edge technologies such as generative AI and machine learning.
Docker β’ AI β’ Kubernetes β’ Devops β’ React.js
2 days ago
Agile Dream Team is an innovative company that specializes in AI-driven solutions and agile software development. The company offers nearshore development teams that combine top talent with agile methodologies to deliver effective enterprise software, AI/ML engineering, and data infrastructure solutions. With a focus on several industries including FinTech, HealthTech, and eCommerce, Agile Dream Team aims to accelerate innovation and enhance operational efficiency by leveraging cutting-edge technologies such as generative AI and machine learning.
Docker β’ AI β’ Kubernetes β’ Devops β’ React.js
β’ Design, develop, and deploy machine learning models and AI-driven applications. β’ Work with large datasets, advanced algorithms, and cloud-based AI services. β’ Collaborate with data scientists, software engineers, and product managers. β’ Develop, train, and optimize machine learning models for predictive analytics, NLP, and computer vision. β’ Implement LLMs, Deep Learning architectures, and Transformer models. β’ Design and deploy end-to-end ML pipelines. β’ Utilize MLOps best practices for versioning, monitoring, and automation.
β’ Proficiency in AI/ML frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI API. β’ Strong knowledge of Deep Learning, NLP, and Computer Vision models. β’ Hands-on experience in LLM fine-tuning, embedding models, and generative AI. β’ Expertise in Python, FastAPI, Flask, or similar backend frameworks. β’ Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. β’ Strong understanding of vector databases (Pinecone, Weaviate, FAISS, ChromaDB). β’ Experience with MLOps tools: MLflow, Kubeflow, TensorBoard, DVC. β’ Familiarity with CI/CD pipelines, Git, Docker, Kubernetes for AI deployments. β’ Strong analytical skills, problem-solving mindset, and passion for AI innovation.
β’ 100% remote role β’ Flexible schedule β’ Opportunities for growth and continuous learning in AI β’ Engage in AI projects that create real-world impact
Apply NowNovember 29, 2024
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