AI/ML Engineer

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

➕ Experience with multi-agent AI systems, reinforcement learning, and autonomous AI.
➕ Knowledge of AI safety, fairness, and responsible AI principles.
➕ Experience with RAG (Retrieval-Augmented Generation) and advanced Prompt Engineering.
➕ Contributions to AI research, publications, or open-source AI projects.
➕ 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!