Agile Dream Team Logo

Agile Dream Team

AI/ML Engineer

Sorry, this job was removed Sorry, this job was removed at 10:42 a.m. (PST) on Monday, Jul 21, 2025
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

Similar Jobs

2 Days Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
Healthtech • Software • Telehealth
The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.
Top Skills: AWSGitKubernetesLlm Eval ToolsNotionPythonSlackZoom
2 Days Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
Healthtech • Software • Telehealth
Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.
Top Skills: AWSMl Pipeline OrchestrationPython
3 Days Ago
Remote or Hybrid
8 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Consumer Web • Information Technology • Mobile • Music • News + Entertainment • Software
The Senior Machine Learning Engineer will develop AI/ML systems for TIDAL, collaborating with cross-functional teams to enhance user experiences through personalized recommendations and features.
Top Skills: AIAWSDatabricksMlPysparkPyTorch

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!

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account