Job Description
N-iX is seeking a Senior MLOps Engineer for a global marketing research firm specializing in behavioral science-grounded market research and advertising solutions. The role involves developing and managing ML training and inference pipelines, deploying models, and ensuring the reliability and efficiency of machine learning systems. The client offers advanced research tools, including a Predictive Markets tool. This position focuses on implementing best practices for ML infrastructure, security, and continuous evaluation of new technologies.
Good 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
Must Have:
- 3+ years of development experience in the ML domain
- Experience with MLOps tools like MLflow
- Proficiency in General Data Engineering
- Expertise in Deep learning, hosting LLMs, and multimodal LLM
- Experience with Azure services (Container Apps, Service Bus, SQL) and Azure ML MLOps pipelines
- Strong skills in Python, ML Stack (PyTorch, transformers, scikit-learn), and DevOps (CI/CD, IaC)
- Experience building highly available, fault-tolerant backend systems with cloud storage
- Extensive experience with model serving, deployment, compression, and performance optimization
- Implement best practices for version control, testing, and monitoring of ML models
- Identify and resolve performance bottlenecks in ML systems
- Ensure security and compliance of ML systems
Perks:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
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
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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