Research AI/ML Engineer

JOB TITLE:         Machine Learning & Data Operations Engineer (No C2C)
LOCATION:       Remote
INDUSTRY:       Pharmaceutical
 
 
JOB DESCRIPTION:     Join a team building AI and machine learning solutions that accelerate research and innovation. This role focuses on deploying ML models, building data pipelines, maintaining cloud-based platforms, and ensuring reliable, scalable production systems. You will work closely with data scientists, software engineers, and business stakeholders to bring AI solutions from development into production.
 
RESPONSIBILITIES:

• Deploy, monitor, and maintain machine learning models in production environments.
• Build and support scalable data pipelines and workflows.
• Develop APIs, microservices, and cloud-native applications.
• Use Kubernetes and container technologies to support deployment and scaling.
• Implement CI/CD pipelines and infrastructure automation.
• Monitor model performance, data quality, and system health.
• Troubleshoot and resolve production issues across applications, data, and infrastructure.
• Collaborate with data science, engineering, and business teams to deliver AI solutions.
• Create documentation, operational procedures, and technical best practices.

 
REQUIREMENTS:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 6+ years of software engineering, platform engineering, MLOps, or cloud engineering experience.
• Experience with Python and at least one object-oriented language such as Java, Go, C++, or Rust.
• Experience building and deploying applications using containers and Kubernetes.
• Knowledge of REST APIs, distributed systems, and cloud platforms (AWS, Azure, or GCP).
• Experience with CI/CD pipelines and automated testing.
• Strong problem-solving and troubleshooting skills.

 
PREFERRED:

• Experience deploying and managing machine learning models in production.
• MLOps experience with tools such as MLflow, Kubeflow, or similar platforms.
• Experience building data pipelines using Spark, Kafka, or streaming technologies.
• Familiarity with model monitoring, validation, governance, and data quality practices.
• Experience with Infrastructure as Code (Terraform or similar).
• Exposure to AI/LLM applications and modern machine learning workflows.
• Experience working in life sciences, healthcare, or research environments.

 
 
 
 
 
Best In-Class-Benefits:  We are in the people business; treating people right is our ONLY priority. Theoris Services consultants are full-time employees with full benefits, including:

• Robust Health Insurance
• 401(k) plan
• PTO
• Paid holidays

 
About Theoris: Our goal is to Fuel Your Career! As a Theoris team member, you join a culture based on people-centered values and an environment that fosters both personal and professional growth. We build long-term relationships with our clients and our consultants. With over 30 years of building strong relationships in the industry, we’re uniquely positioned to make the right connections. This knowledge is used to find the right job placement. Our recruiting teams are experts dedicated to the information technology and engineering staffing space and are highly respected by our client base.