Senior Machine Learning Engineer Remote

Responsibilities

• Convert machine learning models and algorithm prototypes into production-ready optimized ML pipelines
• Contribute to ML pipeline design and development, including validation and cold start problems, A/B tests, feedback loop, etc
• Create and maintain ML pipeline steps
• Optimize/tune ML models and ML pipelines to meet production environment requirements
• Automate key parts of CI/CD pipelines for ML pipelines
• Collaborate with data scientists to fine-tune and optimize models
• Write specifications, documentation and user guides for developed solutions
• Integrate ML models into existing software systems or create new applications
• Allocate activities to junior ML engineers and bring tasks to closure
• Improve coding practices, support code reviews and introduce best practices for model management

Requirements

• 5 years of production experience working in an MLE role
• At least one project delivered to production in an MLE role
• Expertise in engineering best practices
• Solid knowledge of Machine Learning fundamentals
• Production background in integrating ML models into complex data-driven systems
• Familiarity with the Python ML ecosystem
• Proficiency in at least one major Cloud Provider such as AWS, GCP and Azure
• Production experience with one of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex, Databricks MLFlow, Kubeflow or TensorFlow Extended

Nice to have

• Competency in the Apache Spark Ecosystem
• Expertise in LLM/GenAI

We offer

• Engineering Heritage.
• Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack.
• Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients.
• Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth.
• Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community.
• Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture.
• If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup.
• The flexibility to work from any location in Montenegro, whether it's your home or our dynamic offices
• Other Benefits.
• Corporate health insurance and the possibility of buying private health insurance for the family at a corporate price