AI Engineer or MLOps Data Engineer

Aventis Solutions is igniting the AI revolution: The AI Executive Podcast is now live online via:

• YouTube
• Spotify
• Amazon Music

In other news, Aventis Solutions is supporting a fully remote, fast-scaling US FinTech firm in hiring 4x AI Engineers or MLOps Data Engineers to help build production-ready AI systems and modern data platforms. These roles are fully remote across the US, with a collaborative team culture, strong engineering leadership, and a mission to bring advanced AI capabilities into real-world products.

Key Details:

• Salary Bracket: $130,000 to $190,000 base plus performance bonuses and comprehensive benefits
• Location: Fully remote within the US, HQ in Dallas Texas and New York
• Career Outlook: Opportunities to grow vertically up the ranks as an AI Engineer or AI Lead, or team leadership, business/technology strategy or architecture roles as the company expands

Key Responsibilities:

• Design, build, and maintain scalable data pipelines and ML infrastructure in a cloud-native environment
• Integrate AI and LLM-based solutions into production systems, working closely with software engineering and product teams
• Implement CI/CD for ML workflows and manage containerised deployments
• Support data governance, monitoring, and reliability of machine learning systems
• Collaborate on applied AI use cases, from predictive analytics to generative AI integrations

Tech Stacks:

• Languages: Python, SQL, JavaScript (Node.js/TypeScript) for APIs
• Data Engineering: Snowflake, Databricks, dbt, Kafka, Spark
• MLOps and Cloud: AWS (SageMaker, S3, Lambda), Azure ML, Terraform, Kubernetes, Docker
• ML/AI Frameworks: scikit-learn, TensorFlow, PyTorch, LangChain, OpenAI API integrations
• Workflow and Orchestration: Airflow, Prefect, MLflow, Metaflow
• Version Control and CI/CD: Git, GitHub Actions, GitLab, Azure DevOps

What the Team is Looking For:

• Python programming skills for data pipelines, ML experimentation, and API integrations
• Experience working in cloud environments such as AWS, GCP, or Azure
• Familiarity with containerisation, microservices, and infrastructure as code
• Knowledge of ML lifecycle management and deployment best practices
• Interest in LLMs and generative AI tooling, with an appetite to learn and experiment
• Good communication skills and the ability to collaborate across engineering, product, and data science teams

Example Backgrounds:

• Data Engineers with cloud-scale experience looking to add ML or AI integrations to their work
• Machine Learning Engineers who want to productionise models and scale pipelines

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Software Engineers (Python or JavaScript) with interest in data-centric AI products
• Cloud or DevOps Engineers with MLOps experience
• AI Engineers with applied experience in LLM integrations or agentic frameworks

Roles Overview:

You will join a growing engineering team delivering real-world AI solutions. Projects span predictive models, LLM-enhanced applications, recommendation systems, and large-scale data integrations. You will help the team build robust, maintainable, production-ready AI services that deliver business value quickly.

These roles are perfect for engineers who love solving complex problems, enjoy collaborating in cross-functional teams, and want to stay on the leading edge of applied AI and MLOps.

If you want to work fully remotely in a company that values autonomy, learning, and high-quality engineering, this is your opportunity.

Believe the hype!

Interested? Please submit your CV via LinkedIn or message Billy Hall for further information.

Aventis Solutions is acting on behalf of our partner.