Description

We are seeking a Middle Machine Learning Engineer to join our dynamic team. This role requires a professional with a blend of machine learning and data engineering skills who is ready to develop and implement transformative models. As part of our team, you will work alongside a diverse group of professionals, crafting innovative solutions and making significant contributions to the tech industry. If you are passionate about solving complex problems and delivering impactful results, we invite you to apply and join us. The remote option applies only to the Candidates who will be working from any location in Armenia. #LI-XS2 Responsibilities

Contribute to the ML Pipeline development (all steps from data ingestion to inference) Create and maintain ML pipeline steps Assist in the ML prediction endpoint implementation Configure MLOps tools Write specifications, documentation and user guides for developed ML pipelines Requirements

At least 3 years of production experience working as an MLE, automating ML model pipelines Solid understanding of AI/ML lifecycle phases Practical knowledge of at least one of the major Cloud Providers such as AWS, GCP and Azure Proficiency in at least one CICD technology stack (e.g., git, GitHub, GitHub Actions, Docker, etc.) 2+ years of experience working in cross-functional teams on commercial projects using agile methodologies such as Scrum, Kanban, Lean or SAFe Nice to have

Familiarity with the MLOps related platform/technology 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 offer

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 home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ 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 Four trust days per year for personal needs Discounts for fitness clubs Benefits package (hotels, restaurants, stores and services) is a team of talented innovators united by a passion for technology. In , we opened our first office in Yerevan, and now we have a second engineering hub in Gyumri. We've built a continuously learning organization that helps its employees rapidly advance their careers. Here you will work with the world's industry leaders, support impactful projects using the latest technologies, collaborate with multi-national teams, and have access to a wide variety of development opportunities.