Senior MLOps (#4097)

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

Our Client is a marketing and brand consultancy, with proprietary market research and advertising solutions grounded in the principles of behavioral science. The Company specializes in helping clients with their communication and innovation programs and works with many of the world’s largest buyers of advertising and market research. The Client offers a range of tools that embody the latest trends in research. Predictive Markets tool uses the “wisdom of the crowd” to identify winning concepts.

N-iX provides services to the client in the areas of software development, software quality control and quality assurance, technical support and consultancy professional services to the client’s end customers.

Requirements:

• 3+ years of development experience in the ML domain (build training and inference pipelines, manage model deployment)
• MLOps e.g. MLflow
• General Data Engineering
• Deep learning, hosting LLMs, multimodal LLM
• Experience with Azure (Azure Container Apps, Service Bus, Azure SQL), MLOps pipelines setup in Azure ML
• Expertise with Python, ML Stack (PyTorch, transformers, torchcodec, scikit-learn), DevOps (CI/CD, IaC), ML Monitoring setup required
• Experience with building and owning highly available, fault-tolerant backend systems using cloud storage services
• Experience building software for database administration or experience with devops for databases is a plus.
• Extensive experience with model serving, deployment, compression, performance optimization, end to end machine learning lifecycle
• Advanced English written and verbal communication skills (C1/C2)
• Master's degree in Computer Science, or a related field

Nice to have:

• Experience with AWS
• Experience in other programming languages (like .Net)
• Experience in setting up, configuring and maintaining CI/CD process
• Familiarity with building dashboards and visualizations using tools

Responsibilities:

• Implement best practices for version control, testing, and monitoring of machine learning models and infrastructure
• Identify and resolve performance bottlenecks and other issues that impact the reliability and efficiency of machine learning systems
• Ensure the security and compliance of ML systems with internal and external standards and regulations
• Continuously research and evaluate new tools and technologies to improve the efficiency and effectiveness of ML operations