Are you ready to redefine technological innovation as a Lead Machine Learning Engineer? We are looking for a motivated professional with a strong background in machine learning and data engineering who is prepared to develop and implement transformative solutions.
In this role, you will work alongside diverse teams to engineer strategic solutions beyond traditional machine learning boundaries. You will have the opportunity to lead groundbreaking projects and accelerate your career. Our workspace encourages innovation, supports professional growth and celebrates every milestone.
If you thrive on solving complex problems and aspire to make a significant impact, we invite you to apply and join us.
This position offers remote setup with the flexibility to work from any location in Georgia, whether it's your home, a well-equipped office in Tbilisi or coworking spaces in Batumi and Kutaisi.
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Responsibilities
- Lead and contribute to ML pipeline design, development, and operating lifecycle based on best practices
- Develop and deploy complex AI/ML solutions on cloud infrastructure using ML engineering and MLOps workflows and tools capable of scaling in response to evolving business and technical needs
- Create infrastructure and architecture diagrams
- Collaborate with data scientists and engineering team to optimize ML pipeline performance
- Allocate tasks to junior ML engineers and ensure task completion
- Improve coding practices, support code reviews and introduce best practices for model management
- Provide thought leadership in terms of new technologies and tools, suggest improvements
- Support the interview process to hire junior and senior ML engineers
- Experience in AI/ML engineering and leadership
- Proficiency in machine learning model development
- Understanding of best practices in software engineering, data management, testing and deployment
- Expertise in building scalable, reliable and maintainable ML systems
- Strong communication and interpersonal skills to liaise with senior business stakeholders, clients and team members
- Ability to work in a fast-paced, deadline-driven environment, mentor junior team members and provide technical leadership
- Strong knowledge of Python development
- Familiarity with cloud-native services: GCP, AWS, Azure
- Experience with some of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, TensorFlow Extended
- Competency in the Apache Spark Ecosystem
- Expertise in LLM/GenAI
- We connect like-minded people:
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 50+ countries
- Corporate and social events
- We invest in your growth:
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
- Free English classes with certified teachers
- We cover it all:
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Five trust days per year (sick leave without a medical certificate)
- Benefits package (sports activities, a variety of stores and services)