At Agile Dream Team, we drive business transformation through AI and Machine Learning. We are looking for a highly skilled AI/ML Engineer to join our team and build state-of-the-art AI solutions that solve complex business challenges. 💻 Learn more about us at: www.agiledreamteam.com Role Overview As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI-driven applications. You will work with large datasets, advanced algorithms, and cloud-based AI services, collaborating with data scientists, software engineers, and product managers to build scalable and high-performance AI solutions. Key Responsibilities - Develop, train, and optimize machine learning models for predictive analytics, NLP, computer vision, and automation. - Implement LLMs (Large Language Models), Deep Learning architectures, and Transformer models. - Design and deploy end-to-end ML pipelines, ensuring efficiency and scalability. - Utilize MLOps best practices for versioning, monitoring, and automation of ML models. - Work with cloud AI services (AWS Sagemaker, Azure ML, Google Vertex AI, OpenAI API). - Develop data preprocessing and feature engineering strategies for ML models. - Deploy AI/ML solutions in cloud, edge, and production environments. - Collaborate with software engineers to integrate AI models into applications via REST APIs and microservices. - Conduct A/B testing, model evaluations, and continuous improvement of ML models. - Stay updated on latest AI/ML research and industry trends. Required Skills & Experience ✠Proficiency in AI/ML frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI API. ✠Strong knowledge of Deep Learning, NLP, and Computer Vision models. ✠Hands-on experience in LLM fine-tuning, embedding models, and generative AI. ✠Expertise in Python, FastAPI, Flask, or similar backend frameworks. ✠Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. ✠Strong understanding of vector databases (Pinecone, Weaviate, FAISS, ChromaDB). ✠Experience with MLOps tools: MLflow, Kubeflow, TensorBoard, DVC. ✠Familiarity with CI/CD pipelines, Git, Docker, Kubernetes for AI deployments. ✠Strong analytical skills, problem-solving mindset, and passion for AI innovation. Preferred Qualifications âž• Experience with multi-agent AI systems, reinforcement learning, and autonomous AI. âž• Knowledge of AI safety, fairness, and responsible AI principles. âž• Experience with RAG (Retrieval-Augmented Generation) and advanced Prompt Engineering. âž• Contributions to AI research, publications, or open-source AI projects. âž• Background in Mathematics, Statistics, or a related field. Why Join Us? 🚀 Work with a cutting-edge AI/ML team that’s shaping the future of AI. 🌠100% remote role with a flexible schedule. 📈 Opportunities for growth and continuous learning in AI. 💡 Engage in AI projects that create real-world impact. 💰 Competitive salary 🔗 Get to know us and apply today! Apply Here 📩 Ready to drive AI innovation? Apply now!