At Agile Dream Team, we are committed to harnessing the power of Machine Learning and AI to drive innovation. We are looking for a highly skilled MLOps Engineer to help us streamline the deployment, monitoring, and scaling of AI/ML models in production. Learn more about us at: www.agiledreamteam.com
Role Overview
As an MLOps Engineer, you will be responsible for automating, deploying, and optimizing AI/ML models to ensure efficiency, reliability, and scalability. You will collaborate with Data Scientists, AI Engineers, and DevOps teams to bridge the gap between model development and production deployment.
Key Responsibilities
- Build and maintain MLOps pipelines for efficient model training, validation, and deployment.
- Automate model retraining, monitoring, and scaling using CI/CD and orchestration tools.
- Deploy Machine Learning models in cloud, hybrid, and on-prem environments.
- Implement model versioning, governance, and explainability for AI solutions.
- Optimize ML model performance, inference speed, and resource utilization.
- Utilize cloud AI/ML services (AWS Sagemaker, Azure ML, Google Vertex AI).
- Work with Docker, Kubernetes, and serverless computing to containerize AI models.
- Implement model monitoring and logging (Prometheus, Grafana, MLflow, TensorBoard).
- Ensure AI solutions comply with security, scalability, and ethical AI standards.
- Collaborate with software engineers, DevOps, and AI teams to enhance AI delivery processes.
Required Skills & Experience
- Proficiency in MLOps frameworks: MLflow, Kubeflow, TFX, Airflow.
- Strong experience with CI/CD pipelines for ML model automation.
- Hands-on experience deploying ML models in AWS, Azure, or GCP.
- Expertise in Docker, Kubernetes, Terraform, and cloud automation.
- Strong programming skills in Python, Bash, and YAML.
- Experience with data versioning, model tracking, and pipeline orchestration.
- Knowledge of API deployment for AI models using FastAPI, Flask, or GraphQL.
- Experience in scaling and optimizing AI inference on cloud and edge environments.
- Strong understanding of DevOps principles applied to AI/ML workflows.
Preferred Qualifications
- Experience in LLM fine-tuning, Retrieval-Augmented Generation (RAG), and AI APIs.
- Knowledge of AI model explainability, bias detection, and responsible AI practices.
- Experience in distributed computing (Ray, Dask, Spark) for ML workloads.
- Contributions to open-source AI/ML projects or publications.
- Background in Machine Learning, Data Science, or Cloud Infrastructure.
Why Join Us?
- Work with a top-tier AI/ML team that’s shaping the future of MLOps.
- 100% remote role with a flexible schedule.
- Opportunities for growth and continuous learning in AI and MLOps.
- Engage in cutting-edge AI projects that create real-world impact.
- Competitive salary
- Get to know us and apply today! Apply Here
Ready to optimize AI at scale? Apply now!
Similar Jobs
What We Do
Agile Dream Team empowers businesses with high-performing, AI-driven nearshore development teams. Specializing in AI/ML, cloud operations, data solutions, and custom enterprise software, we deliver scalable, cost-efficient solutions tailored to your unique needs. Our expert teams, sourced from Latin America, provide time zone alignment, cultural compatibility, and innovation to drive your digital transformation. At Agile Dream Team, we combine agility, cutting-edge technology, and a commitment to excellence to help businesses succeed in a rapidly evolving digital landscape.
