AI/ML ENGINEER

80.000.000 - 120.000.000


Join to apply for the AI/ML Engineer role at Agentic Dream Join to apply for the AI/ML Engineer role at Agentic Dream 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. ð» 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
â Proficiency in AI/ML frameworks : TensorFlow, PyTorch, Hugging Face, OpenAI API. â Strong knowledge of Deep Learning, NLP, and Computer Vision models . â Hands-on experience in LLM fine-tuning, embedding models, and generative AI . â Expertise in Python, FastAPI, Flask, or similar backend frameworks . â Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. â Strong understanding of vector databases (Pinecone, Weaviate, FAISS, ChromaDB). â Experience with MLOps tools : MLflow, Kubeflow, TensorBoard, DVC. â Familiarity with CI/CD pipelines, Git, Docker, Kubernetes for AI deployments. â Strong analytical skills, problem-solving mindset, and passion for AI innovation. Preferred Qualifications
â Experience with multi-agent AI systems, reinforcement learning, and autonomous AI . â Knowledge of AI safety, fairness, and responsible AI principles . â Experience with RAG (Retrieval-Augmented Generation) and advanced Prompt Engineering . â Contributions to AI research, publications, or open-source AI projects . â Background in Mathematics, Statistics, or a related field . Why Join Us?
ð Work with a cutting-edge AI/ML team that’s shaping the future of AI. ð 100% remote role with a flexible schedule. ð Opportunities for growth and continuous learning in AI. ð¡ Engage in AI projects that create real-world impact. ð° Competitive salary ð Get to know us and apply today! Apply Here
ð Ready to drive AI innovation? Apply now!









































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